PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty
Authors: Jinwen He, Yiyang Lu, Zijin Lin, Kai Chen, Yue Zhao | Published: 2025-06-24
プライバシー保護フレームワーク
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Authors: Maximilian Egger, Rawad Bitar | Published: 2025-06-11
Safeguard-by-Development: A Privacy-Enhanced Development Paradigm for Multi-Agent Collaboration Systems
Authors: Jian Cui, Zichuan Li, Luyi Xing, Xiaojing Liao | Published: 2025-05-07 | Updated: 2025-06-24
Generate-then-Verify: Reconstructing Data from Limited Published Statistics
Authors: Terrance Liu, Eileen Xiao, Adam Smith, Pratiksha Thaker, Zhiwei Steven Wu | Published: 2025-04-29 | Updated: 2025-06-11
On the Price of Differential Privacy for Hierarchical Clustering
Authors: Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang, Samson Zhou | Published: 2025-04-22
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning
Authors: Dong Chen, Alice Dethise, Istemi Ekin Akkus, Ivica Rimac, Klaus Satzke, Antti Koskela, Marco Canini, Wei Wang, Ruichuan Chen | Published: 2024-12-11 | Updated: 2025-04-17
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
Authors: Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian | Published: 2018-12-07