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
プライバシー問題
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
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks
Authors: Di Gao, Cheng Zhuo | Published: 2020-04-05
Information Leakage in Embedding Models
Authors: Congzheng Song, Ananth Raghunathan | Published: 2020-03-31 | Updated: 2020-08-19
A machine-learning approach to Detect users’ suspicious behaviour through the Facebook wall
Authors: Aimilia Panagiotou, Bogdan Ghita, Stavros Shiaeles, Keltoum Bendiab | Published: 2019-10-31
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Authors: Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake | Published: 2019-10-20
Decentralized & Collaborative AI on Blockchain
Authors: Justin D. Harris, Bo Waggoner | Published: 2019-07-16