ProPILE: Probing Privacy Leakage in Large Language Models
Authors: Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh | Published: 2023-07-04
Data Leakage
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction
Authors: Zitao Chen, Karthik Pattabiraman | Published: 2023-07-04
Distribution inference risks: Identifying and mitigating sources of leakage
Authors: Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West | Published: 2022-09-18
Approximate Data Deletion in Generative Models
Authors: Zhifeng Kong, Scott Alfeld | Published: 2022-06-29
Leaked-Web: Accurate and Efficient Machine Learning-Based Website Fingerprinting Attack through Hardware Performance Counters
Authors: Han Wang | Published: 2021-10-04
Machine-Learning Side-Channel Attacks on the GALACTICS Constant-Time Implementation of BLISS
Authors: Soundes Marzougui, Nils Wisiol, Patrick Gersch, Juliane Krämer, Jean-Pierre Seifert | Published: 2021-09-20 | Updated: 2022-06-08
Formalizing and Estimating Distribution Inference Risks
Authors: Anshuman Suri, David Evans | Published: 2021-09-13 | Updated: 2022-07-05
Longitudinal Compliance Analysis of Android Applications with Privacy Policies
Authors: Saad Sajid Hashmi, Nazar Waheed, Gioacchino Tangari, Muhammad Ikram, Stephen Smith | Published: 2021-06-18 | Updated: 2021-07-28
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
Authors: Mohit Kumar, Bernhard A. Moser, Lukas Fischer, Bernhard Freudenthaler | Published: 2021-06-06 | Updated: 2022-04-12
Machine Learning Interpretability Meets TLS Fingerprinting
Authors: Mahdi Jafari Siavoshani, Amir Hossein Khajepour, Amirmohammad Ziaei, Amir Ali Gatmiri, Ali Taheri | Published: 2020-11-12 | Updated: 2021-09-12