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
Privacy Protection Mechanism
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
“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
Differentially Private Federated Learning via Reconfigurable Intelligent Surface
Authors: Yuhan Yang, Yong Zhou, Youlong Wu, Yuanming Shi | Published: 2022-03-31
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
Authors: Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo | Published: 2022-03-08
Federated Learning with Heterogeneous Differential Privacy
Authors: Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami | Published: 2021-10-28 | Updated: 2023-01-14
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning
Authors: Yansong Gao, Qun Li, Yifeng Zheng, Guohong Wang, Jiannan Wei, Mang Su | Published: 2021-10-26