AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification

13 November 2023

Papers citing "AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification"

4 / 4 papers shown

Title
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense Wenjie Li K. Fan Jingyuan Zhang Hui Li Wei Yang Bryan Lim Qiang Yang AAML FedML 32 0 0 29 May 2024
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 106 611 0 27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,032 0 29 Nov 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016