Model Hijacking Attack in Federated Learning

Model Hijacking Attack in Federated Learning

4 August 2024

Zheng Li

Paarijaat Aditya

Istemi Ekin Akkus

Papers citing "Model Hijacking Attack in Federated Learning"

8 / 8 papers shown

Title
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 55 600 0 30 Jul 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 44 1,343 0 07 Mar 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 128 4,957 0 30 Jul 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Yue Liu AAML 71 757 0 01 Apr 2018
Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments Tianyue Zheng Weihong Deng Jiani Hu CVBM 51 414 0 28 Aug 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 72 1,758 0 22 Aug 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 269 4,620 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 229 17,328 0 17 Feb 2016