Decentralized Federated Learning: A Survey on Security and Privacy
Authors: Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Boyu Wang, Qiang Yang | Published: 2024-01-25
DFLに対する攻撃手法
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning
Authors: Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang | Published: 2022-07-25
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Authors: Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott | Published: 2022-07-19
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware
Authors: Luca Demetrio, Battista Biggio, Fabio Roli | Published: 2022-07-12
FL-Defender: Combating Targeted Attacks in Federated Learning
Authors: Najeeb Jebreel, Josep Domingo-Ferrer | Published: 2022-07-02
Private Graph Extraction via Feature Explanations
Authors: Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla | Published: 2022-06-29 | Updated: 2023-11-02
Deep Leakage from Model in Federated Learning
Authors: Zihao Zhao, Mengen Luo, Wenbo Ding | Published: 2022-06-10
Membership Inference via Backdooring
Authors: Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang | Published: 2022-06-10
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Authors: Kai Yue, Richeng Jin, Chau-Wai Wong, Dror Baron, Huaiyu Dai | Published: 2022-06-08 | Updated: 2022-10-14
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Authors: Huiyu Li, Nicholas Ayache, Hervé Delingette | Published: 2022-06-07