FedMIA: An Effective Membership Inference Attack Exploiting “All for One” Principle in Federated Learning
Authors: Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han | Published: 2024-02-09 | Updated: 2025-03-27
Federated Learning
Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models
Authors: Xi Li, Jiaqi Wang | Published: 2024-02-02
Federated unsupervised random forest for privacy-preserving patient stratification
Authors: Bastian Pfeifer, Christel Sirocchi, Marcus D. Bloice, Markus Kreuzthaler, Martin Urschler | Published: 2024-01-29
Blockchain-enabled Trustworthy Federated Unlearning
Authors: Yijing Lin, Zhipeng Gao, Hongyang Du, Jinke Ren, Zhiqiang Xie, Dusit Niyato | Published: 2024-01-29
Vulnerabilities of Foundation Model Integrated Federated Learning Under Adversarial Threats
Authors: Chen Wu, Xi Li, Jiaqi Wang | Published: 2024-01-18 | Updated: 2024-04-02
ADVENT: Attack/Anomaly Detection in VANETs
Authors: Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood | Published: 2024-01-16
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
Authors: Yu Jiang, Jiyuan Shen, Ziyao Liu, Chee Wei Tan, Kwok-Yan Lam | Published: 2024-01-16 | Updated: 2024-01-19
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
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