Mitigating Backdoor Attacks in Federated Learning via Flipping Weight
Updates of Low-Activation Input Neurons

Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons

16 August 2024

Papers citing "Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons"

10 / 10 papers shown

Title
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning Priya Basu Tiasa Singha Roy Rakshit Naidu Zumrut Muftuoglu 50 20 0 04 Oct 2021
Mitigating Backdoor Attacks in Federated Learning Chen Wu Xian Yang Sencun Zhu P. Mitra FedML AAML 76 104 0 28 Oct 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 76 605 0 09 Jul 2020
Can You Really Backdoor Federated Learning? Ziteng Sun Peter Kairouz A. Suresh H. B. McMahan FedML 67 572 0 18 Nov 2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML AAML 57 256 0 10 Mar 2019
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 118 1,499 0 05 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 280 8,878 0 25 Aug 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 120 1,772 0 22 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 399 17,468 0 17 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014