Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
Authors: Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran | Published: 2024-01-10
連合学習
Local Privacy-preserving Mechanisms and Applications in Machine Learning
Authors: Likun Qin, Tianshuo Qiu | Published: 2024-01-08
Privacy-Preserving in Blockchain-based Federated Learning Systems
Authors: Sameera K. M., Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P, Mauro Conti | Published: 2024-01-07
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach
Authors: Mahtab Talaei, Iman Izadi | Published: 2024-01-04
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model
Authors: Yang Li, Chunhe Xia, Wanshuang Lin, Tianbo Wang | Published: 2024-01-02 | Updated: 2024-01-08
Facebook Report on Privacy of fNIRS data
Authors: Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Xiali Hei | Published: 2024-01-01
Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration
Authors: D. Dhinakaran, S. M. Udhaya Sankar, D. Selvaraj, S. Edwin Raja | Published: 2024-01-01
AIJack: Let’s Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Authors: Hideaki Takahashi | Published: 2023-12-29 | Updated: 2024-04-08
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
Authors: Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Matt White, Meikang Qiu | Published: 2023-12-29 | Updated: 2024-06-02
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms
Authors: Sofia Zahri, Hajar Bennouri, Ahmed M. Abdelmoniem | Published: 2023-12-24