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PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using
  Adversarial Perturbations

PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations

26 May 2022
Manaar Alam
Esha Sarkar
Michail Maniatakos
    AAML
    FedML
ArXivPDFHTML

Papers citing "PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations"

5 / 5 papers shown
Title
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Jiahao Xu
Zikai Zhang
Rui Hu
AAML
FedML
Presented at ResearchTrend Connect | FedML on 28 Mar 2025
145
0
0
11 Mar 2025
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
Mingyuan Fan
Zhanyi Hu
Fuyi Wang
Cen Chen
SILM
36
0
0
22 Jan 2025
Identify Backdoored Model in Federated Learning via Individual
  Unlearning
Identify Backdoored Model in Federated Learning via Individual Unlearning
Jiahao Xu
Zikai Zhang
Rui Hu
FedML
AAML
60
1
0
01 Nov 2024
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,705
0
18 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
1