Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions

3 March 2023

Papers citing "Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions"

5 / 5 papers shown

Title
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 16 3 0 20 Nov 2023
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus Hang Chen Syed Ali Asif Jihong Park Chien-Chung Shen M. Bennis FedML 31 37 0 09 Jan 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 170 392 0 04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 166 878 0 29 Nov 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 222 2,069 0 24 Jun 2017