Topic

Privacy

RSS

Papers

2025

Venue Title Topic
EMNLP Membership and Memorization in LLM Knowledge Distillation Privacy, LLM
EMNLP Context-Aware Membership Inference Attacks against Pre-trained Large Language Models Privacy, LLM
PETS TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks Privacy, Machine Learning
PETS Measuring the Accuracy and Effectiveness of PII Removal Services Privacy
CCS Local Frames: Exploiting Inherited Origins to Bypass Content Blockers Privacy
USENIX Web Execution Bundles: Reproducible, Accurate, and Archivable Web Measurements Measurements, Privacy

2024

Venue Title Topic
IMC A First Look at Related Website Sets Privacy
CCS Unbundle-Rewrite-Rebundle: Runtime Detection and Rewriting of Privacy-Harming Code in JavaScript Bundles Privacy

2023

Venue Title Topic
IMC Understanding the Privacy Risks of Popular Search Engine Advertising Systems Privacy
IMC A First Look At The Privacy Harms Of The Public Suffix List Privacy
PETS FrodoPIR: Simple, Scalable, Single-Server Private Information Retrieval Cryptography, Privacy
USENIX Security Pool-Party: Exploiting Browser Resource Pools for Web Tracking Privacy

2022

Venue Title Topic
IMC Measuring UID Smuggling in the Wild Privacy
CCS STAR: Secret Sharing for Private Threshold Aggregation Reporting Cryptography, Privacy
eprint A Framework for Building Secure, Scalable, Networked Enclaves Networks, Privacy
PETS Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites Privacy
WWW Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful Tracking Privacy

2021

Venue Title Topic
CCS SugarCoat: Programmatically Generating Privacy-Preserving, Web-Compatible Resource Replacements for Content Blocking Privacy
eprint What's in Your Wallet? Privacy and Security Issues in Web 3.0 Privacy, Security, Measurements
PETS zkSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices Cryptography, Privacy
RecSys Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback Machine Learning, Privacy

2020

Venue Title Topic
eprint There's No Trick, Its Just a Simple Trick: A Web-Compat and Privacy Improving Approach to Third-Party Web Storage Privacy
USENIX ATC Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning Machine Learning, Privacy
SIGMETRICS Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking Privacy
IEEE S&P AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking Machine Learning, Privacy
MLSys Privacy-Preserving Bandits Machine Learning, Privacy
WWW Keeping Out the Masses: Understanding the Popularity and Implications of Internet Paywalls Privacy
WWW Filter List Generation for Underserved Regions Privacy
CHI Evaluating the End-User Experience of Private Browsing Mode Machine Learning, Privacy
WWW De-Kodi: Understanding the Kodi Ecosystem Privacy

2019

Venue Title Topic
WWW SpeedReader: Reader Mode Made Fast and Private Privacy
eprint The Blind Men and the Internet: Multi-Vantage Point Web Measurements Privacy