Privacy Enhancing Technologies Symposium

210 talks · 2016–2026 · indexed by Breach Arc Archive. Links open each talk on YouTube.

• PETS 2026 Opening Remarks 2026
• PETS 2026 Opening Remarks: Gunes Acar 2026
• PETS 2026 Opening: Joe Jerome from DuckDuckGo 2026
• FOCI 2023 Awards and Closing 2023
• Overcoming Language Barriers: Multilingual Analysis of the 2023 Swiss Privacy Law's Impact 2023
• PETS 2023 - Rump Session 2023
• PETS 2023 AMA with Carmela Troncoso, Susan Landau, Serge Egelman 2023
• PETS 2023 Awards 2023
• PETS 2023 Closing Remarks and Awards 2023
• PETS 2023 Town Hall 2023
• HotPETs 2021 award and closing 2021
• HotPETs 2021 Keynote: PETs and DPAs: perfect is the enemy of good - Marit Hansen 2021
• HotPETs 2021 Session 1 2021
• HotPETs 2021 Session 2 2021
• HotPETS 2020 Keynote: Privacy Threats in Intimate Relationships by Karen Levy 2020
• HotPETS 2020: CLAPS: Client-Location-Aware Path Selection in Tor 2020
• HotPETS 2020: Closing Remarks 2020
• HotPETS 2020: I see a cookie banner -- is it even legal? 2020
• HotPETS 2020: ML Privacy Meter: Aiding regulatory compliance by quantifying the privacy risks of ML 2020
• HotPETS 2020: Opening Remarks 2020
• HotPETS 2020: Probably private protocols 2020
• HotPETS 2020: Simulation for mixnets 2020
• HotPETS 2020: The current state of denial 2020
• PETS 2020 Keynote: The Ethical Algorithm by Michael Kearns 2020
• PETS 2020: 20th Anniversary Commemoration 2020
• PETS 2020: Award Ceremony 2020
• PETS 2020: Closing Remarks 2020
• PETS 2020: Opening Remarks 2020
• Aaron Johnson - Opening Keynote HotPETS 2016 2016
• Dan Blah Meredith - Thank You for Protecting Human Rights - HotPETs Keynote 2016 2016
• "My Best Friend's Husband Sees and Knows Everything" ......Approach Understanding Smart Home Privacy
• A Bilingual Longitudinal Analysis off Privacy Policies Measuring the Impacts of GDPR and the CCPA...
• A Black-Box privacy Analysis of Message Service Providers' Chat Message Processing
• A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
• A Deniability Analysis of Signal's Initial Handshake PQXDH
• A Framework for Provably Secure Onion Routing against a Global Adversary
• A Large Scale Study of Cookie Banner Interaction Tools and their Impact on User's Privacy
• A Participatory Approach for Enhancing Privacy in Wearables Activity tracker third Party Apps
• An Exploration of User Privacy rights in People Search Websites
• Analyzing Prominent Mobile Apps in Latin America
• Anonify: Decentralised Dual-level Anonymity for Medical Data Donation
• Anonymous Complaint Aggregation for Secure Messaging
• Are continuous stop-and-go minxets provably secure?
• Attacking Connection Tracking Frameworks as used by Virtual Private Networks
• Automatic Generation of Web Censorship Probe Lists
• Blending Different Latency Traffic With Beta Mixing
• BoF
• BoF Session
• BoF Session
• BoF Session
• BoF Session
• BoF Session
• BoF Session
• Building User Centred Privacy Enhancing Technologies
• CheckOut: User Controlled Anonymisation for Customer Loyalty Programs
• Circumvent Censorship with Satellite Communication over your phone
• Client Side and Server Side Tracking on META: Effectiveness and Accuracy
• Closing Remarks
• Communication Breakdown: Modularizing Application Tunneling for Signaling Around Censorship
• Compact: Approximating Complex Activation Functions for Secure Computation
• Computational Differential Privacy for Encrypted Databases Supporting Linear Queries
• Connecting the Dots: Tracing Data Endpoints in IoT Devices
• Constant-Round Private Decision Tree Evaluation for Secret Shared Data
• Contextualising Interpersonal Data Sharing in Smart Homes
• CoStricTor: Collaborative HTTP Strict Transport Security in Tor Browser
• Cross-Contextual Examination of Older Adults' Privacy Concerns, Behaviors, and Vulnerabilities
• Crumbling Cookie Categories
• Cryptographically-Secured Domain Validation
• Data Isotopes for Data Provenance in DNNs
• Data Safety vs App Privacy: Comparing the Usability of Android and iOS Privacy Labels
• Decision-based Data Distribution (D³): Enabling Users to Minimize Data Propagation in Privacy
• Defining and Controlling Information Leakage in US Equities Trading
• Delegated Private Matching For Compute
• Deniability in Automated Contact Tracing
• Deniable Messaging with Retroactive Avowal
• Detecting VPN Traffic through Encapsulated TCP Behavior
• DeTorrent: An Adversarial Padding-only Traffic Analysis Defense
• Differentially Private Functional Encryption
• Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition
• Diversity-driven Privacy Protection Masks AgainstUnauthorized Face Recognition
• Divisible E-Cash for Billing in Private Ad Retargeting
• DP-ACT: Decentralised Privacy Preserving Asymmetric Digital Contact Tracing
• Eclipse: Edge Private GCNs with Singular Value Perturbation
• Efficient Privacy-Preserving Machine Learning withLightweight Trusted Hardware
• Efficiently Compiling Secure Communication protocols From passive to Active Security:
• Evading HTTP Censorship with HTTP Request Smuggling
• Evaluating connection migration based QUIC censorship circumvention
• Evaluating Google's Protected Audience Protocol
• EXADPrinter: Semi-Exhaustive Permissionless Device Fingerprinting Within the Android Ecosystem
• Exploring Amazon SQS for Censorship Circumvention
• Exploring Design Opportunities for Family Based Privacy Education in Informal Learning Spaces
• Exploring the Privacy Experiences or Closeted Dating Service Users in the US
• Extending the Security of SPDZ with Fairness
• Fantômas: Understanding Face Anonymization Reversibility
• FedLAP-DP:Federated Learning by Sharing Differentially Private Loss Approximations
• FlashSwift: A Configurable and More Efficient Range ProofWith Transparent Setup
• FOCI Tariq Elahi
• Generalizable Active Privacy Choice
• Generational Differences in Understandings of Privacy Terminology
• Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation
• Honesty if the Best Policy: On the Accuracy of Apple Privacy Labels Compared to Apps' Privacy Labels
• How Does Connecting Online Activities to Advertising Inferences Impact Privacy Perceptions?
• I Still Know its You! On Challenges In Anonymising Source Code
• Improving Privacy on the Web with Law and Computer
• In Memorium Ross Anderson
• Internet Users' Willingness to Disclose Biometric Data for Continuous Online Account Protection:
• Internet Users' Willingness to Disclose Biometric Data for Continuous Online Account Protection:
• Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting
• Johnny Still Can't Opt Out: Assessing the IAB CCPA Compliance Framework
• Keynote Address Roya Ensafi
• Leveraging Large Language Models to Identify Internet Censorship through Network Data
• Link Stealing Attacks Against Inductive Graph Neural Networks
• Looking At The Clouds Leveraging Pub/Sub Cloud Services For Censorship-Resistant Rendezvous Channels
• Lost in Translation: Characterizing Automated Censorship in Online Translation Services
• MAPLE: MArkov Process Leakage attacks on Encrypted Search
• Mapping the Communication Gap Between Software Developers and Privacy Experts
• Maui: Black-Box Edge Privacy Attack on Graph Neural Networks
• Measuring Conditional Anonymity---A Global Study
• Media Talks Privacy: Unravelling a Decade of Privacy Discourse Around the World
• MicroSecAgg: Streamlined Single-Server Secure Aggregation
• Mitigating Inference Risks with the NIST Privacy Framework
• MixMatch: Flow Matching for Mixnet Traffic
• Multipars: Reduced-Communication MPC over Z2k
• Multiparty Private Set Intersection Cardinality andIts Applications
• No Privacy for Privates: How Military Communities Experience and Perceive the Privacy Risks of...
• Onion Services in the Wild: A Study of Deanonymization Attacks.
• Opted Out, Yet Tracked: Are Regulations Enough to Protect Your Privacy?
• Overprofiling Analysis on Major Online Advertising Players
• Physical Side-Channel Attacks againstIntermittent Devices
• PLAN: Variance-Aware Private Mean Estimation
• PLASMA: Private, Lightweight Aggregated Statistics against Malicious Adversaries
• Please Unstalk Me
• Post-quantum XML and SAML Single Sign-On
• PRAC: Round-Efficient 3-Party MPC for Dynamic Data Structures
• Privacy Policies on Fediverse
• Privacy Preserving Fingerprinting Against Collusion and Correlation Threats in Genomic Data
• Privacy Protection Behaviors from a New Angle:Exploratory Analysis on a RussianSample
• Privacy-Preserving Membership Queries for Federated Anomaly Detection
• PrivacyLens: On-Device PII Removal from RGB Images using Thermally-Enhanced Sensing
• Privadome: Delivery Drones andCitizen Privacy
• PrivDNN: A Secure Multi-Party Computation Framework for Deep learning using Partial DNN Encryption
• Provable Security Analysis of Butterfly Key Mechanism Protocol in IEEE 1609.2.1 Standard
• Provable Security for the Onion routing and Mix Net Packet Format Sphinx
• QUICKeR: Quicker Updates Involving Continuous Key Rotation
• Raising the Bar: Improved Fingerprinting Attacks and Defenses for Video Streaming Traffic
• RecoCoDe: Recover From Data Corruption in Deniable Storage
• Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Rump Session
• Scalable Metadata-Hiding for Privacy-Preserving IoT Systems
• Secure Key Transparency Protocol for Interoperable E2EE Message Systems
• Secure Range-Searching Using Copy-And-Recurse
• Security & Privacy with Second HandStorage Device: A User Centric Perspective From Switzerland
• SEDMA: Self-Distillation with Model Aggregation for Membership Privacy
• Selective Authenticated Pilot Location Disclosure for Remote ID-enabled Drones
• SGXonerated:Finding (and Partially Fixing) Privacy Flaws in TEE Based Smart Contract Platforms
• SIGMA: Secure GPT Inference with Function Secret Sharing
• Simply tell me how - On Trustworthiness and Technology Acceptance of Attribute-Based Credentials
• Sloth:Key Stretching and Deniable Encryption Using Secure Elements on Smartphones
• SocIoTy: Practical Cryptography in Smart Home Contexts
• SoK: Data Privacy in Virtual Reality
• SoK: Metadata-Protecting Communication Systems
• SoK: Offline Finding Protocols for Lightweight Location Tracking
• SoK: Trusting Self-Sovereign Identity
• Structure Membership Inference Attacks againstGraph Neural Networks
• StyleAdv: A Usable Privacy Framework Against Facial Recognition with Adversarial Image Editing
• SublonK: Sublinear Prover PlonK
• Summary Reports Optimisation in the Privacy Sandbox Attribution API
• Summation-based PrivateSegmented Membership Test from Threshold-FullyHomomorphic Encryption
• Support Personas: A Concept for Tailored Support of Users of Privacy-Enhancing Technologies
• Supporting Informed Choices aboutBrowser Cookies:
• SWiSSSE: System-Wide Security for Searchable Symmetric Encryption
• Tailoring Digital Privacy Education Interventions for Older Adults
• terest Disclosing Mechanisms for Advertising are Privacy Exposing
• The Devil is in the Detail: Detection Measurement and Lawfulness of Server-Side Tracking on the Web
• The Impact of Online Censorship on Large Language Models
• The Medium is the Message: How Secure Messaging Apps Leak Sensitive Data to Push Notification.......
• The Multiple Mllionaires' Problem
• The Skyhook Paper
• TMI! Finetuned Models Leaf Private Information from their Pretraining Data
• Toward A Practical Multiparty Private Set Union
• Towards Automated DNS Tampering Detection using Machine Learning
• Towards Biologically Plausible and Private Gene Expression Data Generation
• Town Hall
• Traceable minxes
• Two Steps Forward and One Step Back: The Right to Opt Out of Sale Under CPRA
• Understanding Leakage in Searchable Encryption: a Quantitative Approach
• Unlinkable Policy-Compliant Signatures for Compliant and Decentralized Anonymous Payments
• User-Controlled Privacy: Taint, Track, and Control
• Using Decentralised Storage and Plausibly Deniable Storage All Together
• VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned
• Welcome Day 1 Main Theatre
• Welcome to Bristol
• What do Privacy Advertisements Communicate to Customers?
• What does it mean to be creepy?
• WHAT DOES IT MEAN TO BE CREEPY?
• Why Privacy Preserving Protocols are Sometimes Not Enough: A Case Study of Brisbane Toll Collection