Threats and Defenses in Federated Learning Life Cycle: A Comprehensive
Survey and Challenges

Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges

9 July 2024

Yanli Li

Papers citing "Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges"

6 / 6 papers shown

Title
FLCert: Provably Secure Federated Learning against Poisoning Attacks Xiaoyu Cao Zaixi Zhang Jinyuan Jia Neil Zhenqiang Gong FedML OOD 71 59 0 02 Oct 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 21 13 0 08 Sep 2022
Securing Federated Learning: A Covert Communication-based Approach Yuan-ai Xie Jiawen Kang Dusit Niyato Nguyen Thi Thanh Van Nguyen Cong Luong Zhixin Liu Han Yu FedML 29 25 0 05 Oct 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 102 595 0 27 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 351 0 07 Dec 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016