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Conference Schedule

FOCI

Room: SEH B1220/1270 Lehman Auditorium 9:00-17:00

Policy-Relevant Privacy Research Workshop

Room: SEH 1300/1400/1450 Studio Lab 9:00-17:00

18:00

Opening Reception (Science Engineering Hall)

8:30

Opening Remarks (USC 3rd Floor - Grand Ballroom)

9:00

Keynote: Surveilled, Tricked & Trapped: The Stakes of Failing to Enforce in Tech

Stephanie Nguyen Room: USC 3rd Floor - Grand Ballroom 9:00-10:00 Abstract: For decades, policymakers relied on minimal intervention to preserve innovation and trust market forces to self-correct. But in today’s digital economy—marked by targeted advertising, platform dominance, and youth exploitation—this hands-off approach is no longer naïve; it’s harmful. At the heart of many digital harms are pervasive, opaque data practices—including mass surveillance and targeting—that drive manipulation, exploitation, and power concentration. These upstream practices are not incidental; they are central to core corporate business models. Drawing on lessons from the Commission, effective regulation must tackle these root causes rather than just respond to downstream effects. Existing tools can and must be used to curb harmful data practices at their source. Bio: Stephanie T. Nguyen is a senior fellow researching the intersection of tech, artificial intelligence and regulation at the Vanderbilt Policy Accelerator and the Georgetown Tech and Society Initiative and was most recently the Chief Technologist at the Federal Trade Commission under Chair Lina M. Khan. She built, designed, and executed the first Office of Technology and recruited, hired, and led a team of tech experts focused on competition and consumer protection enforcement matters, led compelled research studies on AI investments & partnerships and surveillance pricing, and strengthened digital capacity building across regulatory agencies. In the U.S. Digital Service under the Obama administration, Nguyen served in critical roles to build, design, deploy technological services to millions of people spanning migrant youth reunification, healthcare access, and student loan repayment programs. She led investigative research as a Research Scientist at the MIT Media Lab and at Consumer Reports – surfacing predatory fees across food delivery services during the pandemic, discriminatory automobile insurance pricing, and health app data privacy. Nguyen was a Gleitsman Fellow from Harvard’s Center for Public Leadership and received a Masters in Public Policy at Harvard Kennedy School and a Bachelors in Digital Media Theory & Design at the University of Virginia.

10:00

Break

10:30

Session 1A: Web Tracking (1)

Room: USC 3rd Floor - Grand Ballroom Chair: 10:30-12:00 Tracker Installations Are Not Created Equal: Understanding Tracker Configuration of Form Data Collection Julia Kieserman (New York University), Athanasios Andreou (New York University), Chris Geeng (Northeastern University), Tobias Lauinger (New York University), and Damon McCoy (New York University) Measuring the Accuracy and Effectiveness of PII Removal Services Jiahui HE (The Hong Kong University of Science and Technology (Guangzhou)), Pete Snyder (Brave Software Inc), Hamed Haddadi (Imperial College London and Brave Software Inc), Fabi'an E. Bustamante (Northwestern University), and Gareth Tyson (The Hong Kong University of Science and Technology (Guangzhou)) Referrer Policy: Implementation and Circumvention Luqman Muhammad Zagi (Radboud University), Zahra Moti (Radboud University), and Gunes Acar (Radboud University) Understanding Regional Filter Lists: Efficacy and Impact Christian Böttger (Institute for Internet Security; Westphalian University of Applied Sciences), Nurullah Demir (Institute for Internet Security; Westphalian University of Applied Sciences), Jan Hörnemann (AWARE7 GmbH), Bhupendra Acharya (CISPA), Norbert Pohlmann (Institute for Internet Security; Westphalian University of Applied Sciences), Thorsten Holz (CISPA), Matteo Grosse-Kampmann (Rhine-Waal University of Applied Sciences and AWARE7 GmbH), and Tobias Urban (Institute for Internet Security; Westphalian University of Applied Sciences) Sheep's clothing, wolfish impact: Automated detection and evaluation of problematic 'allowed' advertisements Ritik Roongta (New York University), Julia Jose (New York University), Hussam Habib (New York University), and Rachel Greenstadt (New York University) Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Models Jake Chanenson (University of Chicago), Madison Pickering (University of Chicago), and Noah Apthorpe (Colgate University)

Session 1B: Censorship

Room: USC 3rd Floor - Continental Ballroom Chair: 10:30-12:00 Improving the Performance and Security of Tor’s Onion Services Arushi Arora (Purdue University) and Christina Garman (Purdue University) Time-Efficient Locally Relevant Geo-Location Privacy Protection Chenxi Qiu (University of North Texas), Ruiyao Liu (University of North Texas), Primal Pappachan (Portland State University), Anna Cinzia Squicciarini (Penn State University), and Xinpeng Xie (University of North Texas) RPKI-based Location-Unaware Tor Guard Relay Selection Algorithms Zhifan Lu (University of Virginia), Siyang Sun (University of Virginia), and Yixin Sun (University of Virginia) The Last Hop Attack: Why Loop Cover Traffic over Fixed Cascades Threatens Anonymity Maximilian Weisenseel (TU Dresden), Christoph Döpmann (TU Berlin), and Florian Tschorsch (TU Dresden) SoK: The Spectre of Surveillance and Censorship in Future Internet Architectures Michael Wrana (University of Waterloo), Diogo Barradas (University of Waterloo), and N Asokan (University of Waterloo) Blocking Resistant Communication for Censorship Circumvention using Push Notification Piyush Kumar (University of Michigan), Diwen Xue (University of Michigan), Aaron Ortwein (University of Michigan), Cecylia Bocovich (The Tor Project), Harry (Independent), and Roya Ensafi (University of Michigan)

Session 1C: Differential Privacy (1)

Room: USC 3rd Floor - Amphitheater Chair: 10:30-12:00 SoK: Descriptive Statistics Under Local Differential Privacy Artifact: Reproduced René Raab (Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg), Pascal Berrang (University of Birmingham), Paul Gerhart (TU Wien), and Dominique Schröder (TU Wien) Practical Two-party Computational Differential Privacy with Active Security Fredrik Meisingseth (TU Graz), Fabian Schmid (TU Graz), and Christian Rechberger (TU Graz) Lightweight Two-Party Secure Sampling Protocol for Differential Privacy Masanobu Kii (NTT Social Information Laboratories), Atsunori Ichikawa (NTT Social Information Laboratories), and Takayuki Miura (NTT Social Information Laboratories) SoK: Computational and Distributed Differential Privacy for MPC Fredrik Meisingseth (TU Graz) and Christian Rechberger (TU Graz) Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model Tariq Bontekoe (University of Groningen), Hassan Jameel Asghar (Macquarie University), and Fatih Turkmen (University of Groningen) Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy Ye Zheng (Rochester Institute of Technology), Sumita Mishra (Rochester Institute of Technology), and Yidan Hu (Rochester Institute of Technology)

Session 1D: Usable PETs

Room: USC 3rd Floor - 309 Chair: 10:30-12:00 SoK: (Un)usable Privacy: the Lack of Overlap between Privacy-Aware Sensing and Usable Privacy Research Artifact: Reproduced Yasha Iravantchi (University of Michigan), Pardis Emami-Naeini (Duke University), and Alanson Sample (University of Michigan) User-Centric Textual Descriptions of Privacy-Enhancing Technologies for Ad Tracking and Analytics Lu Xian (University of Michigan), Song Mi Lee-Kan (University of Michigan), Jane Im (University of Michigan), and Florian Schaub (University of Michigan) Examining Caregiving Roles to Differentiate the Effects of Using a Mobile App for Community Oversight for Privacy and Security Mamtaj Akter (Vanderbilt University), Jess Kropczynski (University of Cincinnati), Heather Lipford (University of North Carolina, Charlotte), and Pamela Wisniewski (Vanderbilt University) Identifying Privacy Personas Artifact: Available Olena Hrynenko (Idiap Research Institute, École Polytechnique Fédérale de Lausanne) and Andrea Cavallaro (Idiap Research Institute, École Polytechnique Fédérale de Lausanne) SoK: Usability Studies in Differential Privacy Onyinye Dibia (University of Vermont), Prianka Bhattacharjee (University of Vermont), Brad Stenger (University of Vermont), Steven Baldasty (University of Vermont), Mako Bates (University of Vermont), Ivoline Ngong (University of Vermont), Yuanyuan Feng (University of Vermont), and Joseph P. Near (University of Vermont)

12:00

Lunch (On your own)

13:30

Session 2A: Voice Assistents and Video Conferencing

Room: USC 3rd Floor - Grand Ballroom 13:30-15:00 Echoes of Privacy: Uncovering the Profiling Practices of Voice Assistants Tina Khezresmaeilzadeh (University of Southern California), Elaine Zhu (Northeastern University), Kiersten Grieco (Northeastern University), Daniel J. Dubois (Northeastern University), Konstantinos Psounis (University of Southern California), and David Choffnes (Northeastern University) Erasing the Echo: The Usability of Data Deletion in Smart Personal Assistants Cheng Cheng (University of Bristol) and Kopo Marvin Ramokapane (University of Bristol) Why Am I Seeing Double? An Investigation of Device Management Flaws in Voice Assistant Platforms Muslum Ozgur Ozmen (Arizona State University), Mehmet Oguz Sakaoglu (Purdue University), Jackson Bizjak (Purdue University), Jianliang Wu (Simon Fraser University), Antonio Bianchi (Purdue University), Dave (Jing) Tian (Purdue University), and Z. Berkay Celik (Purdue University) Understanding User Privacy Perceptions in Video Conferencing: Insights from a Feature-Specific User Study Hobin Kim (KAIST), Wonho Song (KAIST), Joseph Seering (KAIST), and Min Suk Kang (KAIST) Who’s Watching You Zoom? Investigating Privacy of Third-Party Zoom Apps Saharsh Goenka (Arizona State University), Adit Prabhu (Arizona State University), Payge Sakurai (Arizona State University), Mrinaal Ramachandran (Arizona State University), and Rakibul Hasan (Arizona State University) Improved Open-World Fingerprinting Increases Threat to Streaming Video Privacy but Realistic Scenarios Remain Difficult Timothy Walsh (Naval Postgraduate School), Armon Barton (Naval Postgraduate School), and Mathias Kolsch (Naval Postgraduate School)

Session 2B: Network Privacy

Room: USC 3rd Floor - Continental Ballroom 13:30-15:00 The Battery Insertion Attack: Is Periodic Pseudo-randomization Sufficient for Beacon Privacy? Liron David (Weizmann Institute of Science and Google Research), Moti Yung (Columbia University and Google Privacy, Security, and Safety Research), Avinatan Hassidim (Bar-Ilan University and Google Research), and Yossi Matias (Tel-Aviv University and Google Research) PGUP: Pretty Good User Privacy for 5G-enabled Secure Mobile Communication Protocols Rabiah Alnashwan (University of Sheffield), Prosanta Gope (University of Sheffield), and Benjamin Dowling (University of Sheffield) "Free WiFi is not ultimately free": Privacy Perceptions of Users in the US regarding City-wide WiFi Services Prianka Mandal (William & Mary), Tu Le (UC Irvine), Amit Seal Ami (William & Mary), Yuan Tian (UCLA), and Adwait Nadkarni (William & Mary) Your Signal, Their Data: An Empirical Privacy Analysis of Wireless-scanning SDKs in Android Aniketh Girish (IMDEA Networks Institute / Universidad Carlos III de Madrid), Joel Reardon (University of Calgary), Srdjan Matic (IMDEA Software Institute), Juan Tapiador (Universidad Carlos III de Madrid), and Narseo Vallina-Rodriguez (IMDEA Networks Institute) Buy it Now, Track Me Later: Attacking User Privacy via Wi-Fi AP Online Auctions Steven Su (University of Maryland), Erik Rye (University of Maryland), Dave Levin (University of Maryland), and Robert Beverly (San Diego State University)

Session 2C: Federated anbd Distributed Learning (1)

Room: USC 3rd Floor - Amphitheater 13:30-15:00 Towards Privacy-preserving and Fairness-aware Federated Learning Framework Adda Akram Bendoukha (Télécom SudParis, Institut Polytechnique de Paris), Didem Demirag (Université du Québec à Montréal (UQAM)), Nesrine Kaaniche (Samovar, Telecom-SudParis, Institut Polytechnique de Paris), Aymen Boudguiga (CEA List, Université Paris-Saclay), Renaud Sirdey (CEA List, Université Paris-Saclay), and Sébastien Gambs (Université du Québec à Montréal (UQAM)) Oryx: Private detection of cycles in federated graphs Ke Zhong (University of Pennsylvania) and Sebastian Angel (University of Pennsylvania) Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation Haonan Shi (Case Western Reserve University), Tu Ouyang (Case Western Reserve University), and An Wang (Case Western Reserve University) Communication Efficient Differentially Private Federated Learning Using Second Order Information Mounssif Krouka (University of Oulu), Antti Koskela (Nokia Bell Labs), and Tejas Kulkarni (Nokia Bell Labs) Low-Cost Privacy-Preserving Decentralized Learning Sayan Biswas (EPFL), Davide Frey (University of Rennes, Inria Rennes, IRISA), Romaric Gaudel (University of Rennes, Inria Rennes, IRISA), Anne-Marie Kermarrec (EPFL), Dimitri Lerévérend (University of Rennes, Inria Rennes, IRISA), Rafael Pires (EPFL), Rishi Sharma (EPFL), and François Taïani (University of Rennes, Inria Rennes, IRISA) AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning Ghada Almashaqbeh (University of Connecticut) and Zahra Ghodsi (Purdue University)

Session 2D: Privacy Pedagogy

Room: USC 3rd Floor - 309 13:30-15:00 Panopticon: The Design and Evaluation of a Game that Teaches Data Science Students Designing Privacy Yuhe Tian (University of California, San Diego), Shao-Yu Chu (University of California, San Diego), Yuxuan Liu (University of California, San Diego), and Haojian Jin (University of California, San Diego) Defining Privacy Engineering as a Profession Nikita Samarin (University of California, Berkeley), Nandita Rao Narla (Future of Privacy Forum), Liam Webster (University of California, Berkeley), and Daniel Smullen (CableLabs) "Do It to Know It": Reshaping the Privacy Mindset of Computer Science Undergraduates Maisha Boteju (University of Auckland), Danielle Lottridge (University of Auckland), Thilina Ranbaduge (Data61, CSIRO), Dinusha Vatsalan (Macquarie University), and Ni Ding (University of Auckland) A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen (University of California, Irvine), Xinlei He (The CISPA Helmholtz Center for Information Security), Zheng Li (The CISPA Helmholtz Center for Information Security), Yang Zhang (The CISPA Helmholtz Center for Information Security), and Zhou Li (University of California, Irvine)

15:00

Break

15:30

Session 3A: IoT

Room: USC 3rd Floor - Grand Ballroom 15:30-17:00 Revealing Hidden IoT Devices through Passive Detection, Fingerprinting, and Localization Wei Sun (UC San Diego), Hadi Givehchian (UC San Diego), and Dinesh Bharadia (UC San Diego) DB-PAISA: Discovery-Based Privacy-Agile IoT Sensing+Actuation Isita Bagayatkar (University of California, Irvine), Youngil Kim (University of California, Irvine), and Gene Tsudik (University of California, Irvine) Help Me Help You: Privacy Considerations for Third Party IoT Device Repair Weijia He (University of Southampton), Nathan Reitinger (University of Maryland), Denise Anthony (University of Michigan), Chelsea Bruno (University of Michigan), Susan Landau (Tufts University), Carl A. Gunter (University of Illinois at Urbana-Champaign), Mounib Khanafer (American University of Kuwait), and Ravindra Mangar (Dartmouth College) PrivacyGuard: Exploring Hidden Cross-App Privacy Leakage Threats In IoT Apps Artifact: Reproduced Zhaohui Wang (The University of Kansas), Bo Luo (The University of Kansas), and Fengjun Li (The University of Kansas) WatchWitch: Interoperability, Privacy, and Autonomy for the Apple Watch Nils Rollshausen (TU Darmstadt), Alexander Heinrich (TU Darmstadt), Matthias Hollick (TU Darmstadt), and Jiska Classen (Hasso Plattner Institute)

Session 3B: Infrastructure and Data Privacy

Room: USC 3rd Floor - Continental Ballroom 15:30-17:00 Janus: Fast Privacy-Preserving Data Provenance For TLS Artifact: Reproduced Jan Lauinger (Technical University of Munich), Jen Ernstberger (Technical University of Munich), Andreas Finkenzeller (Technical University of Munich), and Sebastian Steinhorst (Technical University of Munich) ORIGO: Proving Provenance of Sensitive Data with Constant Communication Jens Ernstberger (Technical University of Munich), Jan Lauinger (Technical University of Munich), Yinnan Wu (Technical University of Munich), Arthur Gervais (University College London), and Sebastian Steinhorst (Technical University of Munich) Path to Encrypted DNS with DDR: Adoption, Configuration Patterns, and Privacy Implications Vasilis Ververis (Hasso-Plattner-Institute / University of Potsdam), Steffen Sassalla (Hasso-Plattner-Institute / University of Potsdam), and Vaibhav Bajpai (Hasso-Plattner-Institute / University of Potsdam) Uncovering the APP Cloud Access Risks under Recommended IAM Security Practices Hengtong Lu (Institute of Information Engineering, CAS, China), Yan Zhang (Institute of Information Engineering, CAS, China), Pengwei Zhan (Institute of Information Engineering, CAS, China), and Qingfeng Tang (Macau University of Science and Technology) Lost in Translation: Exploring the Risks of Web-to-Cross-platform Application Migration Claudio Paloscia (University of Illinois Chicago), Kostas Solomos (University of Illinois Chicago), Mir Masood Ali (University of Illinois Chicago), and Jason Polakis (University of Illinois Chicago) RSA Blind Signatures with Public Metadata Ghous Amjad (Google), Kevin Yeo (Google and Columbia University), and Moti Yung (Google)

Session 3C: TEE and Cryptographic Solutions

Room: USC 3rd Floor - Amphitheater 15:30-17:00 DiffPrivate: Facial Privacy Protection with Diffusion Models Minh-Ha Le (Linköping University) and Niklas Carlsson (Linköping University) Akeso: Bringing Post-Compromise Security to Cloud Storage Lily Gloudemans (William & Mary), Pankaj Niroula (William & Mary), Aashutosh Poudel (William & Mary), and Stephen Herwig (William & Mary) TEEMS: A Trusted Execution Environment based Metadata-protected Messaging System Sajin Sasy (CISPA Helmholtz Center for Information Security), Aaron Johnson (U.S. Naval Research Laboratory), and Ian Goldberg (University of Waterloo) Message Authentication Code with Fast Verification over Encrypted Data and Applications Adi Akavia (University of Haifa), Meir Goldenberg (University of Haifa), Neta Oren (University of Haifa), and Margarita Vald (Intuit Israel Ltd.) ZIPNet: Low-bandwidth anonymous broadcast from (dis)Trusted Execution Environments Michael Rosenberg, Maurice Shih (University of Maryland), Zhenyu Zhao (Tsinghua University), Rui Wang (Purdue University), Ian Miers (University of Maryland), and Fan Zhang (Yale University) Teaching an Old Dog New Tricks: Verifiable FHE Using Commodity Hardware Jules Drean (MIT), Fisher Jepsen (MIT), Edward Suh (NVIDIA), Srinivas Devadas (MIT), Aamer Jaleel (NVIDIA), and Gururaj Saileshwar (University of Toronto)

Session 3D: Privacy in Virtual, Social, and Home

Room: USC 3rd Floor - 309 15:30-17:00 BehaVR: User Identification Based on VR Sensor Data Artifact: Available Ismat Jarin (University of California, Irvine), Yu Duan (University of California, Irvine), Rahmadi Trimananda (University of California, Irvine), Hao Cui (University of California, Irvine), Salma Elmalaki (University of California, Irvine), and Athina Markopoulou (University of California, Irvine) To Reveal or Conceal: Privacy and Marginalization in Avatars Mattea Sim (Indiana University), Basia Radka (University of Washington), Emi Yoshikawa (University of Washington), Franziska Roesner (University of Washington), Kurt Hugenberg (Indiana University), and Tadayoshi Kohno (University of Washington) Evaluating a Data Fiduciary Standard for Privacy: Developer and End-user Perspectives Michele Tang (Pomona College), Liam Bayer Jr. (Pomona College), Leonardo Torres (Pomona College), and Eleanor Birrell (Pomona College) My Data or Our Data? Exploring Adult Users' Experiences with Apple's Family Sharing Amel Bourdoucen (Aalto University) and Janne Lindqvist (Aalto University)

17:00

Town Hall

9:00

Dave Levin Room: USC 3rd Floor - Grand Ballroom 9:00-10:00

10:00

Break

10:30

Session 4A: Web Tracking (2)

Room: USC 3rd Floor - Grand Ballroom 10:30-12:00 How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users Artifact: Available Alex Berke (MIT Media Lab), Badih Ghazi (Google), Enrico Bacis (Google), Pritish Kamath (Google), Ravi Kumar (Google), Robin Lassonde (Google), Pasin Manurangsi (Google), and Umar Syed (Google) Rethinking Fingerprinting: An Assessment of Behavior-based Methods at Scale and Implications for Web Tracking Kyle Crichton (Georgetown University), Lorrie Faith Cranor (Carnegie Mellon University), and Nicolas Christin (Carnegie Mellon University) Intractable Cookie Crumbs: Unveiling the Nexus of Stateful Banner Interaction and Tracking Cookies Ali Rasaii (Max Planck Institute for Informatics), Ha Dao (Max Planck Institute for Informatics), Anja Feldmann (Max Planck Institute for Informatics), Mohammadmahdi Javid (Saarland University), Oliver Gasser (IPinfo), and Devashish Gosain (Indian Institute of Technology Bombay) Onion-Location Measurements and Fingerprinting Paul Syverson (U.S. Naval Research Laboratory), Rasmus Dahlberg (Independent), Tobias Pulls (Karlstad University), and Rob Jansen (U.S. Naval Research Laboratory) Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser Web Tracker Classification in an Imbalanced Setting Artifact: Available Wolf Rieder (Technische Universität Berlin), Philip Raschke (Technische Universität Berlin), and Thomas Cory (Technische Universität Berlin) Unmasking the Shadows: A Cross-Country Study of Online Tracking in Illegal Movie Streaming Services Hussein Sheaib (Saarland University), Anja Feldmann (Max-Planck-Institut für Informatik), and Ha Dao (Max-Planck-Institut für Informatik)

Session 4B: Privacy-Preserving Machine Learning (1)

Room: USC 3rd Floor - Continental Ballroom 10:30-12:00 Truncation Untangled: Scaling Fixed-Point Arithmetic for Privacy-Preserving Machine Learning to Large Models and Datasets Christopher Harth-Kitzerow (Technical University of Munich, BMW Group), Ajith Suresh (Technology Innovation Institute (TII), Abu Dhabi), and Georg Carle (Technical University of Munich) SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang (University of Southern California), Rohan Sequeira (University of Southern California), and Konstantinos Psounis (University of Southern California) Recycling Scraps: Improving Private Learning by Leveraging Checkpoints Virat Vishnu Shejwalkar (Google Deepmind), Arun Ganesh (Google Research), Rajiv Mathews (Google), Yarong Mu (Google), Shuang Song (Google Deepmind), Om Thakkar (OpenAI), Abhradeep Thakurta (Google Deepmind), and Xinyi Zheng (Google) Achieving Data Reconstruction Hardness and Efficient Computation in Multiparty Minimax Training Truong Son Nguyen (Arizona State University), Yi Ren (Arizona State University), Guangyu Nie (Arizona State University), and Ni Trieu (Arizona State University) TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks Mohammadmahdi Maheri (Imperial College London), Hamed Haddadi (Imperial College London & Brave Software), and Alex Davidson (NOVA LINCS, Universidade NOVA de Lisboa) PIGEON: A High Throughput Framework for Private Inference of Neural Networks using Secure Multiparty Computation Christopher Harth-Kitzerow (Technical University of Munich, BMW Group), Yongqin Wang (University of Southern California), Rachit Rajat (University of Southern California), Georg Carle (Technical University of Munich), and Murali Annavaram (University of Southern California)

Session 4C: Differential Privacy (2)

Room: USC 3rd Floor - Amphitheater 10:30-12:00 On the Differential Privacy and Interactivity of Privacy Sandbox Reports Badih Ghazi (Google Research), Charlie Harrison (Google), Pritish Kamath (Google Research), Alexander Knop (Google Research), Ravi Kumar (Google Research), Ethan Leeman (Google), Pasin Manurangsi (Google Research), Vikas Sahu (Google), Arpana Hosabettu (Google), Mariana Raykova (Google Research), and Phillipp Schoppmann (Google Research) Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy Mary Anne Smart (Purdue University), Priyanka Nanayakkara (Harvard University), Rachel Cummings (Columbia University), Gabriel Kaptchuk (University of Maryland, College Park), and Elissa Redmiles (Georgetown University) Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression Jayshree Sarathy (Northeastern University) and Salil Vadhan (Harvard University) Differentially Private Release of Hierarchical Origin/Destination Data with a TopDown Approach Fabrizio Boninsegna (University of Padova) and Francesco Silvestri (University of Padova) Locally Differentially Private Frequency Estimation via Joint Randomized Response Ye Zheng (Rochester Institute of Technology), Shafizur Rahman Seeam (Rochester Institute of Technology), Yidan Hu (Rochester Institute of Technology), Rui Zhang (University of Delaware), and Yanchao Zhang (Arizona State University) Locally Differentially Private Group Comparison in Decentralized Health Data René Raab (Friedrich-Alexander-Universität Erlangen-Nürnberg), Arijana Bohr (Friedrich-Alexander-Universität Erlangen-Nürnberg), Kai Klede (Friedrich-Alexander-Universität Erlangen-Nürnberg), Benjamin Gmeiner (Novartis Pharma GmbH), and Bjoern M. Eskofier (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Session 4D: User Privacy Expectations and Norms

Room: USC 3rd Floor - 309 10:30-12:00 "What are they gonna do with my data?": Privacy Expectations, Concerns, and Behaviors in Virtual Reality Abhinaya S.B. (North Carolina State University), Abhishri Agrawal (UNC Chapel Hill), Yaxing Yao (Virginia Tech), Yixin Zou (Max Planck Institute for Security and Privacy), and Anupam Das (North Carolina State University) Who Cares? Contextual Privacy Norms from Owner and Bystander Perspectives in Different Smart Home Situations Alisa Frik (International Computer Science Institute), Xiao Zhan (King's College London), Noura Abdi (Liverpool Hope University), and Julia Bernd (International Computer Science Institute) User Privacy Perceptions Across the XR Spectrum: An Extended Reality Cross-Platform Comparative Analysis of A Virtual House Tour Chris Warin (University of Göttingen), Viktoriya Pak (University of Göttingen), and Delphine Reinhardt (University of Göttingen) Gig Work at What Cost?: Exploring Privacy Risks of Gig Work Platform Participation in the U.S. Amogh Pradeep (Northeastern University), Johanna Gunawan (Northeastern University), Alvaro Feal (Northeastern University), Woodrow Hartzog (Boston University), and David Choffnes (Northeastern University) Understanding Privacy Norms through Web Forms Artifact: Reproduced Hao Cui (University of California, Irvine), Rahmadi Trimananda (University of California, Irvine), and Athina Markopoulou (University of California, Irvine) Learning Privacy from Visual Entities Alessio Xompero (Queen Mary University of London) and Andrea Cavallaro (Idiap Research Institute)

12:00

Lunch (On your own)

Speed Mentoring

13:30

BoFs

15:00

Break

15:30

Session 5A: Mobile Apps

Room: USC 3rd Floor - Grand Ballroom 15:30-17:00 Surveillance Disguised as Protection: A Comparative Analysis of Sideloaded and In-Store Parental Control Apps Eva-Maria Maier (FH St. Pölten), Leonie Tanczer (University College London), and Lukas Daniel Klausner (FH St. Pölten) A (web)View to a Kill: An Empirical Analysis of Privacy Threats in Hybrid Mobile Android Apps Nipuna Weerasekara (IMDEA Networks Institute), José Miguel Moreno (Universidad Carlos III de Madrid), Srdjan Matic (IMDEA Software Institute), Joel Reardon (University of Calgary), Juan Tapiador (Universidad Carlos III de Madrid), and Narseo Vallina-Rodriguez (IMDEA Networks Institute) What WeChat Knows: Pervasive First-Party Tracking in a Billion-User Super-App Ecosystem Mona Wang (Princeton University), Pellaeon Lin (Citizen Lab, University of Toronto), Jeffrey Knockel (Citizen Lab, University of Toronto), Will Greenberg (Electronic Frontier Foundation), Jonathan Mayer (Princeton University), and Prateek Mittal (Princeton University) Privacy Settings of Third-Party Libraries in Android Apps: A Study of Facebook SDKs David Rodriguez (Universidad Politécnica de Madrid), Joseph A. Calandrino (), Jose M. Del Alamo (Universidad Politécnica de Madrid), and Norman Sadeh (Carnegie Mellon University) The Impact of Default Mobile SDK Usage on Privacy and Data Protection Artifact: Available Simon Koch (TU Braunschweig), Manuel Karl (TU Braunschweig), Robin Kirchner (TU Braunschweig), Malte Wessels (TU Braunschweig), Anne Paschke (TU Braunschweig), and Martin Johns (TU Braunschweig)

Session 5B: Privacy-Preserving Computation

Room: USC 3rd Floor - Continental Ballroom 15:30-17:00 Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study Ayana Moshruba (George Mason University), Ihsen Alouani (Queen's University Belfast), and Maryam Parsa (George Mason University) Communication Efficient Secure and Private Multi-Party Deep Learning Sankha Das (Microsoft Research India), Sayak Ray Chowdhury (Microsoft Research India), Nishanth Chandran (Microsoft Research India), Divya Gupta (Microsoft Research India), Satya Lokam (Microsoft Research India), and Rahul Sharma (Microsoft Research India) High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings Artifact: Functional Christopher Harth-Kitzerow (Technical University of Munich (TUM), BMW Group), Ajith Suresh (Technology Innovation Institue (TII), Abu Dhabi), Yongqin Wang (University of Southern California (USC)), Hossein Yalame (Bosch GmbH, Germany), Georg Carle (Technical University of Munich (TUM)), and Murali Annavaram (University of Southern California (USC)) Private Shared Random Minimum Spanning Forests Marian Dietz (ETH Zurich) and Florian Kerschbaum (University of Waterloo) Private Computation on Common Fuzzy Records Kyoohyung Han (Samsung SDS), Seongkwang Kim (Samsung SDS), and Yongha Son (Sungshin Women's University) Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics Artifact: Reproduced Dimitris Mouris (Nillion & University of Delaware), Christopher Patton (Cloudflare), Hannah Davis (Seagate), Pratik Sarkar (Supra Research), and Nektarios Georgios Tsoutsos (University of Delaware)

Panel: Security training and risk associated with sensitive research

Room: USC 3rd Floor - Amphitheater Chair: Roya Ensafi 15:30-17:00

Session 5D: Cryptographic Protocols for Privacy (1)

Room: USC 3rd Floor - 309 15:30-17:00 Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption Hassan Asghar (Macquarie University), Zhigang Lu (Western Sydney University), Zhongrui Zhao (James Cook University), and Dali Kaafar (Macquarie University) MixBuy: Contingent Payment in the Presence of Coin Mixers Diego Castejon-Molina (IMDEA Software Institute, Universidad Politécnica de Madrid), Dimitrios Vasilopoulos (IMDEA Software Institute), and Pedro Moreno-Sanchez (IMDEA Software Institute, VISA Research) MProve-Nova: A Privacy-Preserving Proof of Reserves Protocol for Monero Varun Thakore (Indian Institute of Technology Bombay) and Saravanan Vijayakumaran (Indian Institute of Technology Bombay) Privacy and Security of FIDO2 Revisited Manuel Barbosa (Universidade do Porto (FCUP) & INESC TEC & Max Planck Institute for Security and Privacy), Alexandra Boldyreva (Georgia Institute of Technology), Shan Chen (Southern University of Science and Technology), Kaishuo Cheng (Georgia Institute of Technology), and Luis Esquivel (Universidade do Porto (FCUP) & INESC TEC) Silent Splitter: Privacy for Payment Splitting via New Protocols for Distributed Point Functions Margaret Pierce (University of North Carolina at Chapel Hill) and Saba Eskandarian (University of North Carolina at Chapel Hill) Toxic Decoys: A Path to Scaling Privacy-Preserving Cryptocurrencies Christian Cachin (University of Bern, Institute of Computer Science) and François-Xavier Wicht (University of Bern, Institute of Computer Science)

17:00

Break and Poster Setup

17:30

Poster Session and Reception

18:30

Reception (continued)

9:00

Keynote: Who Gets to Design Our Technological Future?

Paul Ohm Room: USC 3rd Floor - Grand Ballroom 9:00-10:00 Abstract: Those who design the technologies we use to work, communicate, and play increasingly get to shape the rules that govern society, policy, and law. Professor Ohm argues that recent advances in how software is developed and deployed may fundamentally change who gets to participate in these design decisions. Emerging tools lower the barriers to entry, potentially moving technologists out of the center and inviting new voices--experts in sociology, philosophy, and law--into the process. They also reduce the cost of experimentation, removing a long-standing objection to involving outsiders like NGOs and governments. The way forward is full of challenges, but if we navigate it wisely, we just might create a more participatory, transparent, humane, and just technological future. Bio: Paul Ohm is a Professor of Law at the Georgetown University Law Center in Washington, D.C. In his research, service, and teaching, Professor Ohm builds bridges between computer science and law, utilizing his training and experience as a lawyer, policymaker, computer programmer, and network systems administrator. His research focuses on information privacy, computer crime law, surveillance, technology and the law, and artificial intelligence and the law. Professor Ohm has published landmark articles about the failure of anonymization, the Fourth Amendment and new technology, and broadband privacy. He has served in numerous roles in government, for the U.S. Department of Justice, Federal Trade Commission, Office of the Colorado Attorney General, and Commission on Evidence-Based Policymaking.

10:00

Break

10:30

Session 6A: Machine Learning and Graph Analytics

Room: USC 3rd Floor - Grand Ballroom 10:30-12:00 White-box Membership Inference Attacks against Diffusion Models Yan Pang (University of Virginia), Tianhao Wang (University of Virginia), Xuhui Kang (University of Virginia), Mengdi Huai (Iowa State University), and Yang Zhang (CISPA Helmholtz Center for Information Security) GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song (The Pennsylvania State University), Ehsanul Kabir (The Pennsylvania State University), and Shagufta Mehnaz (Penn State University) A non-comparison oblivious sort and its application to private k-NN Sofiane Azogagh (University of Quebec at Montreal), Marc-Olivier Killijian (University of Quebec at Montreal), and Félix Larose-Gervais (University of Quebec at Montreal) MultiCent: Secure and Scalable Centrality Measures on Multilayer Graphs Andreas Brüggemann (TU Darmstadt), Nishat Koti (Aztec Labs), Varsha Bhat Kukkala (IIT Tirupati), and Thomas Schneider (TU Darmstadt) Optimizing Encrypted Neural Networks: Model Design, Quantization and Fine-Tuning Using FHEW/TFHE Yu-Te Ku (Data Science Degree Program, National Taiwan University and Academia Sinica), Feng-Hao Liu (Washington State University), Chih-Fan Hsu (Inventec Corporation), Ming-Ching Chang (State University of New York, University at Albany), Shih-Hao Hung (High Performance and Scientific Computing Center, National Taiwan University), I-Ping Tu (Institute of Statistical Science, Academia Sinica), and Wei-Chao Chen (Inventec Corporation) WaKA: Data Attribution with Privacy Principles]{WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles Patrick Mesana (HEC Montreal), Sébastien Gambs (University du Québec à Montréal), Clément Bénesse (University du Québec à Montréal), Hadrien Lautraite (University du Québec à Montréal), and Gilles Caporossi (HEC Montréal)

Session 6B: Anonymity, Mixnets, and Shuffling

Room: USC 3rd Floor - Continental Ballroom 10:30-12:00 Sybil-Resistant Parallel Mixnets Maya Kleinstein (Hebrew University of Jerusalem), Riad S. Wahby (Carnegie Mellon University), and Yossi Gilad (Hebrew University of Jerusalem) Aimless Onions: Mixing without Topology Information Daniel Schadt (Karlsruhe Institute of Technology), Christoph Coijanovic (Karlsruhe Institute of Technology), and Thorsten Strufe (Karlsruhe Institute of Technology) Real-world Deniability in Messaging Artifact: Reproduced Daniel Collins (EPFL and Purdue University), Simone Colombo (EPFL), and Loïs Huguenin-Dumittan (EPFL) Enhancing Metric Privacy With a Shuffler Andreas Athanasiou (INRIA, École polytechnique), Catuscia Palamidessi (Inria), and Kostas Chatzikokolakis (Inria, National and Kapodistrian University of Athens)

Session 6C: Cryptographic Protocols & Secure Systems (1)

Room: USC 3rd Floor - Amphitheater 10:30-12:00 Non-Interactive Verifiable Aggregation Ojaswi Acharya (University of Massachusetts Amherst), Suvasree Biswas (George Washington University), Weiqi Feng (University of Massachusetts Amherst), Adam O'Neill (University of Massachusetts Amherst), and Arkady Yerukhimovich (George Washington University) Stochastic Models for Remote Timing Attacks Simone Bozzolan (Università Ca' Foscari Venezia), Diletta Olliaro (Università Ca' Foscari Venezia), Stefano Calzavara (Università Ca' Foscari Venezia), Andrea Marin (Università Ca' Foscari Venezia), Gianfranco Balbo (Università di Torino), and Matteo Sereno (Università di Torino) Hypersphere Secure Sketch Revisited: Probabilistic Linear Regression Attack on IronMask in Multiple Usage Pengxu Zhu (Shanghai Jiao Tong University) and Lei Wang (Shanghai Jiao Tong University) SCIF: Privacy-Preserving Statistics Collection with Input Validation and Full Security Jianan Su (Georgetown University), Laasya Bangalore (SandboxAQ), Harel Berger (Georgetown University), Jason Yi (Georgetown University), Sophia Castor (Georgetown University), Muthuramakrishnan Venkitasubramaniam (Georgetown University), and Micah Sherr (Georgetown University) Searchable Encryption for Conjunctive Queries with Extended Forward and Backward Privacy Artifact: Reproduced Cong Zuo (Beijing Institute of Technology), Shangqi Lai (Monash University/CSIRO Data61), Shi-Feng Sun (Shanghai Jiao Tong University), Xingliang Yuan (The University of Melbourne), Joseph K. Liu (Monash University), Jun Shao (Zhejiang Gongshang University/Zhejiang E-Commerce Key Lab), Huaxiong Wang (Nanyang Technological University), Liehuang Zhu (Beijing Institute of Technology), and Shujie Cui (Monash University) Match Quest: Fast and Secure Pattern Matching Pranav Jangir (New York University), Nishat Koti (Aztec Labs), Varsha Bhat Kukkala (IIT Tirupati), Arpita Patra (Indian Institute of Science), and Bhavish Raj Gopal (Indian Institute of Science)

Session 6D: Social Media Privacy

Room: USC 3rd Floor - 309 10:30-12:00 Privacy Perceptions and Behaviors Towards Targeted Advertising on Social Media: A Cross-Country Study on the Effect of Culture and Religion Smirity Kaushik (University of Illinois Urbana Champaign), Tanusree Sharma (University of Illinois Urbana Champaign), Yaman Yu (University of Illinois Urbana Champaign), Amna F. Ali (University of Illinois Urbana Champaign), Bart Knijnenburg (Clemson University), Yang Wang (University of Illinois Urbana Champaign), and Yixin Zou (Max Planck Institute for Security and Privacy) Can Social Media Privacy and Safety Features Protect Targets of Interpersonal Attacks? A Systematic Analysis Majed Almansoori (University of Wisconsin-Madison and United Arab Emirates University (UAEU)) and Rahul Chatterjee (University of Wisconsin-Madison) Understanding the Perils of YouTube's Privacy Settings on Ad Safety Cat Mai (New York University), Lexie Barthelemess (New York University), Bruno Coelho (New York University), Julia Kieserman (New York University), Kyle Spinelli (New York University), Eric Yang (State University of New York at Buffalo), Athanasios Andreou (New York University), Rachel Greenstadt (New York University), Tobias Lauinger (New York University), and Damon McCoy (New York University) Navigating Social Media Privacy: Awareness, Preferences, and Discoverability Pithayuth Charnsethikul (University of Southern California Information Sciences Institute), Almajd Zunquti (University of Southern California Information Sciences Institute), Gale Lucas (University of Southern California Institute for Creative Technologies), and Jelena Mirkovic (University of Southern California Information Sciences Institute) Misalignments and Demographic Differences in Expected and Actual Privacy Settings on Facebook Byron Lowens (University of Michigan), Sean Scarnecchia (University of Michigan), Jane Im (University of Michigan), Tanisha Afnan (tafnan@umich.edu), Annie Chen (anniechn@umich.edu), Yixin Zou (Max Planck Institute for Security and Privacy), and Florian Schaub (University of Michigan)

12:00

Lunch (On your own)

13:30

Session 7A: Compliance

Room: USC 3rd Floor - Grand Ballroom 13:30-15:00 Making Web Applications GDPR Compliant: A Comparative Evaluation of GDPR-Enforcement Frameworks Felix Kalinowski (Ruhr University Bochum), David Klein (Technische Universität Braunschweig), Martin Johns (Technische Universität Braunschweig), and Veelasha Moonsamy (Ruhr University Bochum) The Effect of Platform Policies on App Privacy Compliance Noura Alomar (University of California (Berkeley)), Joel Reardon (University of Calgary), Aniketh Girish (IMDEA Networks Institute and Universidad Carlos III de Madrid), Narseo Vallina-Rodriguez (IMDEA Networks Institute), and Serge Egelman (University of California, Berkeley and International Computer Science Institute) Johnny Can't Revoke Consent Either: Measuring Compliance of Consent Revocation on the Web Gayatri Priyadarsini Kancherla (Indian Institute of Technology, Gandhinagar), Nataliia Bielova (Inria Centre at Université Côte d’Azur), Cristiana Santos (Utrecht University, Netherlands), and Abhishek Bichhawat (Indian Institute of Technology, Gandhinagar) Privacy Bills of Materials (PriBOM): A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development Zhen Tao (Australian National University & CSIRO's Data61), Shidong Pan (Columbia University & New York University), Zhenchang Xing (CSIRO's Data61), Xiaoyu Sun (Australian National University), Omar Haggag (Monash University), John Grundy (Monash University), Jingjie Li (University of Edinburgh), and Liming Zhu (CSIRO's Data61 & School of CSE, UNSW) Empirically Measuring Data Localization in the EU Alexander Gamero-Garrido (UC Davis), Kicho Yu (USC), Sumukh Vasisht Shankar (Yale University), Sachin Kumar Singh (University of Utah), Sindhya Balasubramanian (Northeastern University), Alexander Wilcox (Northeastern University), and David Choffnes (Northeastern University)

Session 7B: Privacy-Preserving Machine Learning (2)

Room: USC 3rd Floor - Continental Ballroom 13:30-15:00 Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning Abdulla Alshabanah (University of Southern California), Keshav Balasubramanian (University of Southern California), and Murali Annavaram (University of Southern California) The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification Ahmad Hassanpour (Norwegian University of Science and Technology), Amir Zarei (Norwegian University of Science and Technology), Khawla Mallat (SAP), Anderson Santana de Oliveira (SAP), and Bian Yang (Norwegian University of Science and Technology) Leaky Diffusion: Attribute Leakage in Text-Guided Image Generation Anastasios Lepipas (Imperial College London), Marios Charalambides (Imperial College London), Jiani Liu (Imperial College London), Yiying Guan (Imperial College London), Dominika C Woszczyk (Imperial College London), Mansi (Imperial College London), Thanh Hai Le (Imperial College London), and Soteris Demetriou (Imperial College London) PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks Xin Yang (University of Alberta) and Omid Ardakanian (University of Alberta)

Session 7C: Cryptographic Protocols & Secure Systems (2)

Room: USC 3rd Floor - Amphitheater 13:30-15:00 Vote&Check: Secure Postal Voting with Reduced Trust Assumptions Véronique Cortier (CNRS, Nancy), Alexandre Debant (Inria Nancy, France), Pierrick Gaudry (CNRS, Nancy), and Léo Louistisserand (CNRS, Nancy) Does Coding Style Really Survive Compilation? Stylometry of Executable Code Revisited Muaz Ali (University of Arizona), Tugay Biglis (University of Arizona), Nimet Beyza Bozdag (University of Arizona), Saumya Debray (University of Arizona), and Sazzadur Rahaman (University of Arizona) PrePaMS: Privacy-Preserving Participant Management System for Studies with Rewards and Prerequisites Artifact: Reproduced Echo Meißner (Ulm University), Frank Kargl (Ulm University), Benjamin Erb (Ulm University), and Felix Engelmann (Lund University) TETRIS: Composing FHE Techniques for Private Functional Exploration Over Large Datasets Malika IZABACHENE (Independent) and Jean-Philippe BOSSUAT (Independent) Wave Hello to Privacy - Efficient Mixed-Mode MPC using Wavelet Transforms José Reis (NIllion), Mehmet Ugurbil (Nillion), Sameer Wagh (SecretBit Ventures LLC), Ryan Henry (University of Calgary), and Miguel de Vega (Nillion)

Session 7D: Encrypted Communication

Room: USC 3rd Floor - 309 13:30-15:00 "If You Want to Encrypt It Really, Really Hardcore...": User Perceptions of Key Transparency in WhatsApp Konstantin Fischer (Ruhr University Bochum), Markus Keil (Ruhr University Bochum), Annalina Buckmann (Ruhr University Bochum), and M. Angela Sasse (Ruhr University Bochum) LANGuard: Analysing and Protecting Local Network Access on Mobile Devices Angelos Beitis (DistriNet,KU Leuven), Jeroen Robben (DistriNet,KU Leuven), Alexander Heinrich (SEEMOO, TU Darmstadt), Zhen Lei (Taiyuan University of Technology), Yijia Li (Taiyuan University of Technology), Nian Xue (Shandong University of Technology), Yongle Chen (Taiyuan University of Technology), Vik Vanderlinden (DistriNet, KU Leuven), and Mathy Vanhoef (DistriNet, KU Leuven) Okay Google, Where’s My Tracker? Security, Privacy, and Performance Evaluation of Google’s Find My Device Network Leon Böttger (SEEMOO, TU Darmstadt), Alexander Heinrich (SEEMOO, TU Darmstadt), Dennis Arndt (SEEMOO, TU Darmstadt), and Matthias Hollick (SEEMOO, TU Darmstadt) Hardware-Accelerated Encrypted Execution of General-Purpose Applications Charles Gouert (University of Delaware), Vinu Joseph (NVIDIA), Steven Dalton (NVIDIA), Cedric Augonnet (NVIDIA), Michael Garland (NVIDIA), and Nektarios Georgios Tsoutsos (University of Delaware) SoK: Web Authentication and Recovery in the Age of End-to-End Encryption Jenny Blessing (University of Cambridge), Daniel Hugenroth (University of Cambridge), Ross J. Anderson (University of Cambridge & Edinburgh), and Alastair R. Beresford (University of Cambridge)

15:00

Break

15:30

Session 8A: Large Language Models

Room: USC 3rd Floor - Grand Ballroom Chair: 15:30-17:00 An Analysis of Censorship Bias in LLMs Mohamed Ahmed (Citizen Lab, University of Toronto), Jeffrey Knockel (Citizen Lab, University of Toronto), and Rachel Greenstadt (New York University) "AI is from the devil." Behaviors and Concerns Toward Personal Data Sharing with LLM-based Conversational Agents Noé Zufferey (ETH Zurich), Sarah Abdelwahab Gaballah (Ruhr University Bochum), Karola Marky (Ruhr University Bochum), and Verena Zimmermann (ETH Zurich) "Hoovered Up as a Data Point": Exploring Privacy Behaviours, Awareness, and Concerns Among UK Users of LLM-based Conversational Agents Lisa Malki (University College London), Akhil Polamarasetty (University College London), Majid Hatamian (Google), Enrico Costanza (University College London), and Mark Warner (University College London) DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech Dominika Woszczyk (Imperial College London) and Soteris Demetriou (Imperial College London) Robust and Efficient Watermarking of Large Language Models Using Error Correction Codes Xiaokun Luan (Peking University), Zeming Wei (Peking University), Yihao Zhang (Peking University), and Meng Sun (Peking University) Mission: Impossible - Image Based Geolocation with Large Vision Language Models Yi Liu (Quantstamp), Gelei Deng (Nanyang Technological University), Junchen Ding (University of New South Wales), Yuekang Li (University of New South Wales), Tianwei Zhang (Nanyang Technological University), Weisong Sun (Nanyang Technological University), Yaowen Zheng (Institute of Information Engineering, Chinese Acadamy of Sciences), and Jingquan Ge (Nanyang Technological University)

Session 8B: Genomic and Medical Data Privacy

Room: USC 3rd Floor - Continental Ballroom 15:30-17:00 Privacy-preserving Multiple Sequence Alignment Scheme for Long Gene Sequence Yatong Jiang (Beihang University), Tao Shang (Beihang University), and Jianwe Liu (Beihang University) SecurED: Secure Multiparty Edit Distance for Genomic Sequences Jiahui Gao (Arizona State University), Yagaagowtham Palanikuma (Arizona State University), Dimitris Mouris (Nillion), Duong Nguyen (Arizona State University), and Ni Trieu (Arizona State University) HyDia: FHE-based Facial Matching with Hybrid Approximations and Diagonalization Sam Martin (University of Notre Dame), Nirajan Koirala (University of Notre Dame), Helena Berens (University of Notre Dame), Tommy Rozgonyi (University of Notre Dame), Micah Brody (University of Notre Dame), and Taeho Jung (University of Notre Dame) EpiOracle: Privacy-Preserving Cross-Facility EarlyWarning for Unknown Epidemics Artifact: Reproduced Shiyu Li (University of Electronic Science and Technology of China), Yuan Zhang (University of Electronic Science and Technology of China), Yaqing Song (University of Electronic Science and Technology of China), Fan Wu (Central South University), Feng Lyu (Central South University), Kan Yang (The University of Memphis), and Qiang Tang (The University of Sydney) "It’s Not My Data Anymore": Exploring Non-Users’ Privacy Perceptions of Medical Data Donation Apps Sarah Abdelwahab Gaballah (Ruhr University Bochum), Lamya Abdullah (Technical University of Darmstadt), Ephraim Zimmer (Technical University of Darmstadt), Sascha Fahl (CISPA Helmholtz Center for Information Security), Max Mühlhäuser (Technical University of Darmstadt), and Karola Marky (Ruhr University Bochum)

Session 8C: Federated and Distributed Learning (2)

Room: USC 3rd Floor - Amphitheater 15:30-17:00 TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems Marco Di Gennaro (Politecnico di Milano), Giovanni De Lucia (Politecnico di Milano), Stefano Longari (Politecnico di Milano), Stefano Zanero (Politecnico di Milano), and Michele Carminati (Politecnico di Milano) AlphaFL: Secure Aggregation with Malicious2 Security for Federated Learning against Dishonest Majority Yufan Jiang (Karlsruhe Institute of Technology), Maryam Zarezadeh (Barkhausen Institut), Tianxiang Dai (Lancaster University Leipzig), and Stefan Köpsell (Barkhausen Institut) Private Knowledge Sharing in Distributed Learning Jumera Yasas Supeksala Akurudda Liyanage Don (Swinburne University of Technology (Hawthorn, VIC)), Thilina Ranbaduge (DATA61-CSIRO), Ming Ding (DATA61-CSIRO), Dinh C. Nguyen (University of Alabama in Huntsville), Bo Liu (University of Technology Sydney), Calson Chua (Swinburne University of Technology), and Jun Zhang (Swinburne University of Technology) Noiseless Privacy-Preserving Decentralized Learning Artifact: Functional Sayan Biswas (EPFL), Mathieu Even (INRIA), Anne-Marie Kermarrec (EPFL), Laurent Massoulie (INRIA), Rafael Pires (EPFL), Rishi Sharma (EPFL), and Martijn de Vos (EPFL) Unlearning Clients, Features and Samples in Vertical Federated Learning Ayush Kumar Varshney (Umeå University), Konstantinos Vandikas (Ericsson), and Vicenç Torra (Umeå University) Topology-Based Reconstruction Prevention for Decentralised Learning Artifact: Reproduced Florine W. Dekker (Delft University of Technology), Zekeriya Erkin (Delft University of Technology), and Mauro Conti (Università di Padova)

Session 8D: Cryptographic Protocols for Privacy (2)

Room: USC 3rd Floor - 309 15:30-17:00 Maliciously Secure Circuit Private Set Intersection via SPDZ-Compatible Oblivious PRF Yaxi Yang (Singapore University of Technology and Design), Xiaojian Liang (Ant International, Ant Group, China), Xiangfu Song (National University of Singapore), Ye Dong (Singapore University of Technology and Design), Linting Huang (Guangzhou University), Hongyu Ren (Guangzhou University), Changyu Dong (Guangzhou University), and Jianying Zhou (Singapore University of Technology and Design) OPPID: Single Sign-On with Oblivious Pairwise Pseudonyms Maximilian Kroschewski (Hasso Plattner Institute, University of Potsdam), Anja Lehmann (Hasso Plattner Institute, University of Potsdam), and Cavit Özbay (Hasso Plattner Institute, University of Potsdam) VIMz: Private Proofs of Image Manipulation using Folding-based zkSNARKs Stefan Dziembowski (University of Warsaw / IDEAS NCBR), Shahriar Ebrahimi (IDEAS NCBR), and Parisa Hassanizadeh (IDEAS NCBR / IPPT PAN) Client-Efficient Online-Offline Private Information Retrieval Hoang-Dung Nguyen (Virginia Tech), Jorge Guajardo (Robert Bosch LLC - Research and Technology Center), and Thang Hoang (Virginia Tech) Re-visiting Authorized Private Set Intersection: A New Privacy-Preserving Variant and Two Protocols Artifact: Available Francesca Falzon (ETH Zürich) and Evangelia Anna Markatou (TU Delft) Unbalanced PSI from Client-Independent Relaxed Oblivious PRF Xiaodong Wang (Tsinghua University), Zijie Lu (Beijing Institute of Mathematical Sciences and Applications), Bei Liang (Beijing Institute of Mathematical Sciences and Applications), and Shengzhe Meng (Tsinghua University)

17:00

Rump Session

18:00

Closing Remarks and Awards

9:00

HotPETs (Schedule coming soon!)

Room: SEH B1220/1270 Lehman Auditorium

8:30

PETS Hike

8:30-15:30 Please see the hike page for full details. You must register at the welcome desk to participate; spaces are limited.
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