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Model Hijacking Attack in Federated Learning

Model Hijacking Attack in Federated Learning

4 August 2024
Zheng Li
Siyuan Wu
Ruichuan Chen
Paarijaat Aditya
Istemi Ekin Akkus
Manohar Vanga
Min Zhang
Hao Li
Yang Zhang
    FedML
    AAML
ArXivPDFHTML

Papers citing "Model Hijacking Attack in Federated Learning"

5 / 5 papers shown
Title
Federated Learning for Wireless Communications: Motivation,
  Opportunities and Challenges
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam
Harpreet S. Dhillon
J. H. Reed
43
600
0
30 Jul 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
37
1,343
0
07 Mar 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
108
4,957
0
30 Jul 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for
  Regression Learning
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
50
757
0
01 Apr 2018
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
249
4,620
0
18 Oct 2016
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