Accepted papers for PETS 2025
Issue 1
- Understanding Privacy Norms through Web Forms
Hao Cui (University of California, Irvine), Rahmadi Trimananda (University of California, Irvine), and Athina Markopoulou (University of California, Irvine) - BehaVR: User Identification Based on VR Sensor Data
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) - Topology-Based Reconstruction Prevention for Decentralised Learning
Florine W. Dekker (Delft University of Technology), Zekeriya Erkin (Delft University of Technology), and Mauro Conti (Università di Padova) - How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users
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) - 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: Descriptive Statistics Under Local Differential Privacy
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) - 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) - Privacy-preserving Multiple Sequence Alignment Scheme for Long Gene Sequence
Yatong Jiang (Beihang University), Tao Shang (Beihang University), and Jianwe Liu (Beihang University) - 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) - Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics
Dimitris Mouris (Nillion & University of Delaware), Christopher Patton (Cloudflare), Hannah Davis (Seagate), Pratik Sarkar (Supra Research), and Nektarios Georgios Tsoutsos (University of Delaware) - Real-world Deniability in Messaging
Daniel Collins (EPFL and Purdue University), Simone Colombo (EPFL), and Loïs Huguenin-Dumittan (EPFL) - Practical Two-party Computational Differential Privacy with Active Security
Fredrik Meisingseth (TU Graz), Fabian Schmid (TU Graz), and Christian Rechberger (TU Graz) - EpiOracle: Privacy-Preserving Cross-Facility EarlyWarning for Unknown Epidemics
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) - 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) - 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) - SoK: Computational and Distributed Differential Privacy for MPC
Fredrik Meisingseth (TU Graz) and Christian Rechberger (TU Graz) - Searchable Encryption for Conjunctive Queries with Extended Forward and Backward Privacy
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) - 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) - SoK: (Un)usable Privacy: the Lack of Overlap between Privacy-Aware Sensing and Usable Privacy Research
Yasha Iravantchi (University of Michigan), Pardis Emami-Naeini (Duke University), and Alanson Sample (University of Michigan) - 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) - Janus: Fast Privacy-Preserving Data Provenance For TLS
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) - Improving the Performance and Security of Tor’s Onion Services
Arushi Arora (Purdue University) and Christina Garman (Purdue University) - Private Computation on Common Fuzzy Records
Kyoohyung Han (Samsung SDS), Seongkwang Kim (Samsung SDS), and Yongha Son (Sungshin Women's 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) - 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) - PrePaMS: Privacy-Preserving Participant Management System for Studies with Rewards and Prerequisites
Echo Meißner (Ulm University), Frank Kargl (Ulm University), Benjamin Erb (Ulm University), and Felix Engelmann (Lund University) - “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) - 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) - 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) - 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) - PrivacyGuard: Exploring Hidden Cross-App Privacy Leakage Threats In IoT Apps
Zhaohui Wang (The University of Kansas), Bo Luo (The University of Kansas), and Fengjun Li (The University of Kansas) - Re-visiting Authorized Private Set Intersection: A New Privacy-Preserving Variant and Two Protocols
Francesca Falzon (ETH Zürich) and Evangelia Anna Markatou (TU Delft) - The Impact of Default Mobile SDK Usage on Privacy and Data Protection
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) - Noiseless Privacy-Preserving Decentralized Learning
Sayan Biswas (EPFL), Mathieu Even (INRIA), Anne-Marie Kermarrec (EPFL), Laurent Massoulie (INRIA), Rafael Pires (EPFL), Rishi Sharma (EPFL), and Martijn de Vos (EPFL) - 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)) - RSA Blind Signatures with Public Metadata
Ghous Amjad (Google), Kevin Yeo (Google and Columbia University), and Moti Yung (Google) - "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) - Identifying Privacy Personas
Olena Hrynenko (Idiap Research Institute, École Polytechnique Fédérale de Lausanne) and Andrea Cavallaro (Idiap Research Institute, École Polytechnique Fédérale de Lausanne) - Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser Web Tracker Classification in an Imbalanced Setting
Wolf Rieder (Technische Universität Berlin), Philip Raschke (Technische Universität Berlin), and Thomas Cory (Technische Universität Berlin) - 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) - 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) - DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech
Dominika Woszczyk (Imperial College London) and Soteris Demetriou (Imperial College London) - Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
Jayshree Sarathy (Northeastern University) and Salil Vadhan (Harvard University) - High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings
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)) - 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) - 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) - 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) - 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) - Privacy Perceptions and Behaviors Towards Targeted Advertising on Social Media: A Cross-Country Study
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) - 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) - 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) - Private Shared Random Minimum Spanning Forests
Marian Dietz (ETH Zurich) and Florian Kerschbaum (University of Waterloo)
Issue 2
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - Oryx: Private detection of cycles in federated graphs
Ke Zhong (University of Pennsylvania) and Sebastian Angel (University of Pennsylvania) - 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) - 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) - 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) - 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) - 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) - Enhancing Metric Privacy With a Shuffler
Andreas Athanasiou (INRIA, École polytechnique), Catuscia Palamidessi (Inria), and Kostas Chatzikokolakis (Inria, National and Kapodistrian University of Athens) - Maliciously Secure Circuit Private Set Intersection via SPDZ-Compatible Oblivious PRF
Yaxi Yang (Singapore University of Technology and Design), Xiaojian Liang (Ant International), 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) - 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) - 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) - TETRIS: Composing FHE Techniques for Private Functional Exploration Over Large Datasets
Malika IZABACHENE (Independent) and Jean-Philippe BOSSUAT (Independent) - Unlearning Clients, Features and Samples in Vertical Federated Learning
Ayush Kumar Varshney (Umeå University), Konstantinos Vandikas (Ericsson), and Vicenç Torra (Umeå University) - DiffPrivate: Facial Privacy Protection with Diffusion Models
Minh-Ha Le (Linköping University) and Niklas Carlsson (Linköping University) - The Effect of Platform Policies on App Privacy Compliance
Noura Alomar (University of California (Berkeley)), Joel Reardon (University of Calgary and AppCensus, Inc), Aniketh Girish (IMDEA Networks Institute and Universidad Carlos III de Madrid), Narseo Vallina-Rodriguez (IMDEA Networks Institute and AppCensus), and Serge Egelman (University of California, Berkeley and International Computer Science Institute) - 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) - AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning
Ghada Almashaqbeh (University of Connecticut) and Zahra Ghodsi (Purdue University) - 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) - 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)
