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Data and Model Poisoning Backdoor Attacks on Wireless Federated
  Learning, and the Defense Mechanisms: A Comprehensive Survey

Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey

14 December 2023
Yichen Wan
Youyang Qu
Wei Ni
Yong Xiang
Longxiang Gao
Ekram Hossain
    AAML
ArXivPDFHTML

Papers citing "Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey"

10 / 10 papers shown
Title
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges
  and Future Research Directions
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Thuy-Dung Nguyen
Tuan Nguyen
Phi Le Nguyen
Hieu H. Pham
Khoa D. Doan
Kok-Seng Wong
AAML
FedML
19
33
0
03 Mar 2023
NCL: Textual Backdoor Defense Using Noise-augmented Contrastive Learning
NCL: Textual Backdoor Defense Using Noise-augmented Contrastive Learning
Shengfang Zhai
Qingni Shen
Xiaoyi Chen
Weilong Wang
Cong Li
Yuejian Fang
Zhonghai Wu
AAML
24
6
0
03 Mar 2023
FL-Defender: Combating Targeted Attacks in Federated Learning
FL-Defender: Combating Targeted Attacks in Federated Learning
N. Jebreel
J. Domingo-Ferrer
AAML
FedML
36
38
0
02 Jul 2022
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural
  Networks
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
Xi Li
Zhen Xiang
David J. Miller
G. Kesidis
AAML
13
13
0
06 Dec 2021
Decentralized Wireless Federated Learning with Differential Privacy
Decentralized Wireless Federated Learning with Differential Privacy
Shuzhen Chen
Dongxiao Yu
Yifei Zou
Jiguo Yu
Xiuzhen Cheng
16
32
0
19 Sep 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through
  Neural Payload Injection
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
Yuanchun Li
Jiayi Hua
Haoyu Wang
Chunyang Chen
Yunxin Liu
FedML
SILM
52
56
0
18 Jan 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
151
244
0
07 Dec 2020
Mitigating backdoor attacks in LSTM-based Text Classification Systems by
  Backdoor Keyword Identification
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification
Chuanshuai Chen
Jiazhu Dai
SILM
43
102
0
11 Jul 2020
Clean-Label Backdoor Attacks on Video Recognition Models
Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao
Xingjun Ma
Xiang Zheng
James Bailey
Jingjing Chen
Yu-Gang Jiang
AAML
160
252
0
06 Mar 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
166
878
0
29 Nov 2018
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