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Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor
  Attacks in Federated Learning

Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning

17 October 2022
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Hossein Souri
Ramalingam Chellappa
Micah Goldblum
Tom Goldstein
    AAML
    SILM
    FedML
ArXivPDFHTML

Papers citing "Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning"

10 / 10 papers shown
Title
A Survey on Vulnerability of Federated Learning: A Learning Algorithm
  Perspective
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedML
AAML
40
19
0
27 Nov 2023
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in
  Federated Learning
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
Yanbo Dai
Songze Li
FedML
24
24
0
25 Apr 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Manaar Alam
Hithem Lamri
Michail Maniatakos
FedML
AAML
MU
24
14
0
20 Apr 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
411
0
14 Jul 2021
RoFL: Robustness of Secure Federated Learning
RoFL: Robustness of Secure Federated Learning
Hidde Lycklama
Lukas Burkhalter
Alexander Viand
Nicolas Küchler
Anwar Hithnawi
FedML
29
55
0
07 Jul 2021
Turning Federated Learning Systems Into Covert Channels
Turning Federated Learning Systems Into Covert Channels
Gabriele Costa
Fabio Pinelli
S. Soderi
Gabriele Tolomei
FedML
37
10
0
21 Apr 2021
Federated Evaluation and Tuning for On-Device Personalization: System
  Design & Applications
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Matthias Paulik
M. Seigel
Henry Mason
Dominic Telaar
Joris Kluivers
...
Dominic Hughes
O. Javidbakht
Fei Dong
Rehan Rishi
Stanley Hung
FedML
177
126
0
16 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
182
1,032
0
29 Nov 2018
1