PETS / HotPETS 2022

110 talks · 2022 · indexed by Breach Arc Archive. Links open each talk on YouTube.

• [1A] On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas 2022
• [1A] The Effectiveness of Adaptation Methods in Improving User Engagement and Privacy Protection ... 2022
• [1A] User Perceptions of Gmail’s Confidential Mode 2022
• [1B] OrgAn: Organizational Anonymity with Low Latency 2022
• [1C] Efficient Set Membership using MPC-in-the-Head 2022
• [1C] Fully Secure PSI via MPC-in-the-Head 2022
• [1C] Homomorphically counting elements with the same property 2022
• [1C] Updatable Private Set Intersection 2022
• [2A] How Usable Are iOS App Privacy Labels? 2022
• [2A] Keeping Privacy Labels Honest 2022
• [2A] Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies 2022
• [2A] Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Ana... 2022
• [2A] User-friendly yet rarely read: A case study on the redesign of an online HIPAA authorization 2022
• [2B] AriaNN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing 2022
• [2B] Multiparty Reach and Frequency Histogram: Private, Secure and Practical 2022
• [2B] Polymath: Low-Latency MPC via Secure Polynomial Evaluations and its Applications 2022
• [2B] Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy... 2022
• [2C] FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting 2022
• [2C] My Cookie is a phoenix: detection, measurement, and lawfulness of cookie respawning with bro... 2022
• [2C] OmniCrawl: Comprehensive Measurement of Web Tracking With Real Desktop and Mobile Browsers 2022
• [2C] RegulaTor: A Straightforward Website Fingerprinting Defense 2022
• [3A] Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps 2022
• [3A] On the Feasibility of Linking Attack to Google/Apple Exposure Notification Framework 2022
• [3A] Privately Connecting Mobility to Infectious Diseases via Applied Cryptography 2022
• [3A] Proof-of-Vax: Studying User Preferences and Perception of Covid Vaccination Certificates 2022
• [3A] Replay (Far) Away: Exploiting and Fixing Google/Apple Exposure Notification Contact Tracing 2022
• [3B] Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions 2022
• [3B] Differentially private partition selection 2022
• [3B] Making the Most of Parallel Composition in Differential Privacy 2022
• [3B] Privacy accounting εconomics 2022
• [3C] "It Feels Like Whack-a-mole": User Experiences of Data Removal from People Search Websites 2022
• [3C] ATOM: A Generalizable Technique for Inferring Tracker-Advertiser Data Sharing in the Online ... 2022
• [3C] Leave no Data Behind - Empirical Insights into Data Erasure from Online Services 2022
• [3C] Who Knows I Like Jelly Beans? An Investigation Into Search Privacy 2022
• [4A] Checking Websites' GDPR Consent Compliance for Marketing Emails 2022
• [4A] Investigating GDPR Fines in the Light of Data Flows 2022
• [4A] Setting the Bar Low: Are Websites Complying With the Minimum Requirements of the CCPA? 2022
• [4B] A Multi-Region Investigation of Use and Perceptions of Smart Home Devices 2022
• [4B] Exploring the Privacy Concerns of Bystanders in Smart Homes from the Perspectives of both Ow... 2022
• [4B] SoK: Privacy-enhancing Smart Home Hubs 2022
• [4C] 3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs 2022
• [4C] LLAMA: A Low Latency Math Library for Secure Inference 2022
• [4C] Pika: Secure Computation using Function Secret Sharing over Rings 2022
• [4C] Privacy-Preserving training of tree ensembles over continuous data 2022
• [4C] XORBoost: Tree Boosting in the Multiparty Computation Setting 2022
• [5A] DALock: Password Distribution-Aware Throttling 2022
• [5A] DataProVe: Fully Automated Conformance Verification Between Data Protection Policies and Sys... 2022
• [5A] Hidden Issuer Anonymous Credential 2022
• [5A] How Not to Handle Keys: Timing Attacks on FIDO Authenticator Privacy 2022
• [5A] Integrating Privacy into the Electric Vehicle Charging Architecture 2022
• [5B] Machine Learning with Differentially Private Labels: Mechanisms and Frameworks 2022
• [5B] Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative ML 2022
• [5C] "We may share the number of diaper changes" 2022
• [5C] A Global Survey of Android Dual-Use Applications Used in Intimate Partner Surveillance 2022
• [5C] Analyzing the Monetization Ecosystem of Stalkerware 2022
• [5C] Developers Say the Darnedest Things 2022
• [6A] "All apps do this": Comparing Privacy Concerns Towards Privacy Tools and Non-Privacy Tools f... 2022
• [6A] Are iPhones Really Better for Privacy? A Comparative Study of iOS and Android Apps 2022
• [6A] Charting App Developers' Journey Through Privacy Regulation Features in Ad Networks 2022
• [6B] Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning 2022
• [6B] Disparate Vulnerability to Membership Inference Attacks artifact 2022
• [6B] Formalizing and Estimating Distribution Inference Risks 2022
• [6B] Knowledge Cross-Distillation for Membership Privacy 2022
• [6C] (epsilon, delta)-Indistinguishable Mixing for Cryptocurrencies 2022
• [6C] On Defeating Graph Analysis of Anonymous Transactions 2022
• [6C] SoK: Assumptions underlying Cryptocurrency Deanonymizations - A Taxonomy for Scientific Expe... 2022
• [6C] SoK: TEE-assisted Confidential Smart Contract 2022
• [6C] Toward Uncensorable, Anonymous and Private Access Over Satoshi Blockchains 2022
• [7A] Building a Privacy-Preserving Smart Camera System 2022
• [7A] FingerprinTV: Fingerprinting Smart TV Apps 2022
• [7A] Watch Over Your TV: A Security and Privacy Analysis of the Android TV ecosystem 2022
• [7B] gOTzilla: Efficient Disjunctive Zero-Knowledge Proofs from MPC in the Head, with Application... 2022
• [7B] How to prove any NP statement jointly? Efficient Distributed-prover Zero-Knowledge Protocols 2022
• [7B] Polaris: Transparent Succinct Zero-Knowledge Arguments for R1CS with Efficient Verifier 2022
• [7B] Privacy-preserving FairSwap: Fairness and Privacy Interplay 2022
• [7B] Zswap: zk-SNARK Based Non-Interactive Multi-Asset Swaps 2022
• [7C] I know what you did on Venmo: Discovering privacy leaks in mobile social payments 2022
• [7C] Neural Fuzzy Extractors 2022
• [7C] PrivacyScout: Assessing Vulnerability to Shoulder Surfing on Mobile Devices 2022
• [7C] SoK: Cryptographic Confidentiality of Data on Mobile Devices 2022
• [8A] Collection, Usage and Privacy of Mobility Data in the Enterprise and Public Administrations 2022
• [8A] In Search of Lost Utility: Private Location Data 2022
• [8A] Privacy-preserving High-dimensional Data Collection with Federated Generative Autoencoder 2022
• [8A] Private Aggregation of Trajectories 2022
• [8B] Forward and Backward-Secure Range-Searchable Symmetric Encryption 2022
• [8B] On the Cost of Suppressing Volume for Encrypted Multi-maps 2022
• [8B] SoK: Plausibly Deniable Storage 2022
• [8B] Time- and Space-Efficient Aggregate Range Queries over Encrypted Databases 2022
• [8C] From "Onion Not Found" to Guard Discovery 2022
• [8C] Increasing Adoption of Tor Browser Using Informational and Planning Nudges 2022
• [8C] MLEFlow: Learning from History to Improve Load Balancing in Tor 2022
• [8C] Trace Oddity: Methodologies for Data-Driven Traffic Analysis on Tor 2022
• [9A] A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study 2022
• [9A] Flexible and scalable privacy assessment for very large datasets with an application to offi... 2022
• [9A] Towards Improving Code Stylometry Analysis in Underground Forums 2022
• [9B] Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free 2022
• [9B] Comprehensive Analysis of Privacy Leakage in Vertical Federated Learning During Prediction 2022
• [9B] Ulixes: Facial Recognition Privacy with Adversarial Machine Learning 2022
• [9B] User-Level Label Leakage from Gradients in Federated Learning 2022
• [9C] Understanding Privacy-Related Advice on Stack Overflow 2022
• [9C] Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases 2022
• [9C] ZoomP³: Privacy-Preserving Publishing of Online Video Conference Recordings 2022
• HotPETs Invited Talk: Learning from Low-Tech PETS - Susan McGregor 2022
• HotPETs Invitied Talk: The Right To Ask project - Vanessa Teague 2022
• HotPETs Keynote: "Each of us is a micro-media" - Tanya Lokot 2022
• HotPETs Opening/Keynote: Elissa M. Redmiles 2022
• PETS 2022 Awards and Closing 2022
• PETS 2022 Moti Yung Keynote: "Privacy Integrated Computing:” Cryptographic Protocols in Practice 2022
• PETS 2022 Town Hall 2022
• PETS 2022 Welcome and Opening 2022