No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
Authors: Yehonatan Refael, Guy Smorodinsky, Ofir Lindenbaum, Itay Safran | Published: 2025-09-25
Privacy Protection Mechanism
Understanding the Error Sensitivity of Privacy-Aware Computing
Authors: Matías Mazzanti, Esteban Mocskos, Augusto Vega, Pradip Bose | Published: 2025-06-09
Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption
Authors: Muhammad Ali Najjar, Ren-Yi Huang, Dumindu Samaraweera, Prashant Shekhar | Published: 2025-06-09
Progent: Programmable Privilege Control for LLM Agents
Authors: Tianneng Shi, Jingxuan He, Zhun Wang, Linyu Wu, Hongwei Li, Wenbo Guo, Dawn Song | Published: 2025-04-16
The Obvious Invisible Threat: LLM-Powered GUI Agents’ Vulnerability to Fine-Print Injections
Authors: Chaoran Chen, Zhiping Zhang, Bingcan Guo, Shang Ma, Ibrahim Khalilov, Simret A Gebreegziabher, Yanfang Ye, Ziang Xiao, Yaxing Yao, Tianshi Li, Toby Jia-Jun Li | Published: 2025-04-15
Nearly Optimal Differentially Private ReLU Regression
Authors: Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu | Published: 2025-03-08 | Updated: 2025-06-10
“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning
Authors: Marc Juarez, Aleksandra Korolova | Published: 2022-06-24 | Updated: 2023-01-11
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning
Authors: Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan | Published: 2022-04-05 | Updated: 2022-05-17
Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization
Authors: Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay | Published: 2022-04-04 | Updated: 2023-08-28
Byzantine-Robust Federated Linear Bandits
Authors: Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian | Published: 2022-04-03