Privacy and Security Threat for OpenAI GPTs
Authors: Wei Wenying, Zhao Kaifa, Xue Lei, Fan Ming | Published: 2025-06-04
Privacy Issues
Evaluating Apple Intelligence’s Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets
Authors: Mohd. Farhan Israk Soumik, Syed Mhamudul Hasan, Abdur R. Shahid | Published: 2025-06-04
Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs
Authors: Filippo Scaramuzza, Giovanni Quattrocchi, Damian A. Tamburri | Published: 2025-05-26
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
Authors: Antti Koskela, Tejas Kulkarni | Published: 2025-05-26
Bayesian Pseudo Posterior Mechanism for Differentially Private Machine Learning
Authors: Robert Chew, Matthew R. Williams, Elan A. Segarra, Alexander J. Preiss, Amanda Konet, Terrance D. Savitsky | Published: 2025-03-27
How Well Can Differential Privacy Be Audited in One Run?
Authors: Amit Keinan, Moshe Shenfeld, Katrina Ligett | Published: 2025-03-10 | Updated: 2025-05-26
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning
Authors: Abdulkadir Korkmaz, Praveen Rao | Published: 2025-01-22 | Updated: 2025-03-27
SAPAG: A Self-Adaptive Privacy Attack From Gradients
Authors: Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran | Published: 2020-09-14
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Authors: Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi | Published: 2020-04-12
PrivEdge: From Local to Distributed Private Training and Prediction
Authors: Ali Shahin Shamsabadi, Adria Gascon, Hamed Haddadi, Andrea Cavallaro | Published: 2020-04-12