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Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications

Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications

18 July 2022
Ali Raza
Shujun Li
K. Tran
L. Koehl
Kim Duc Tran
    AAML
ArXivPDFHTML

Papers citing "Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications"

4 / 4 papers shown
Title
Federated Learning Under Attack: Exposing Vulnerabilities through Data
  Poisoning Attacks in Computer Networks
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Ehsan Nowroozi
Imran Haider
R. Taheri
Mauro Conti
AAML
24
5
0
05 Mar 2024
Lightweight Transformer in Federated Setting for Human Activity
  Recognition
Lightweight Transformer in Federated Setting for Human Activity Recognition
Ali Raza
K. Tran
L. Koehl
Shujun Li
Xianyi Zeng
Khaled Benzaidi
MedIm
9
9
0
01 Oct 2021
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
42
210
0
14 Jan 2021
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
Jinyin Chen
Longyuan Zhang
Haibin Zheng
Xueke Wang
Zhaoyan Ming
AAML
24
19
0
06 Jan 2021
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