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FLAME: Taming Backdoors in Federated Learning (Extended Version 1)

FLAME: Taming Backdoors in Federated Learning (Extended Version 1)

6 January 2021
T. D. Nguyen
Phillip Rieger
Huili Chen
Hossein Yalame
Helen Mollering
Hossein Fereidooni
Samuel Marchal
Markus Miettinen
Azalia Mirhoseini
S. Zeitouni
F. Koushanfar
A. Sadeghi
T. Schneider
    AAML
ArXivPDFHTML

Papers citing "FLAME: Taming Backdoors in Federated Learning (Extended Version 1)"

19 / 19 papers shown
Title
Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework
Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework
Usama Zafar
André Teixeira
Salman Toor
FedML
AAML
59
0
0
26 Mar 2025
Protect Federated Learning Against Backdoor Attacks via Data-Free
  Trigger Generation
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation
Yanxin Yang
Ming Hu
Yue Cao
Jun Xia
Yihao Huang
Yang Liu
Mingsong Chen
FedML
29
6
0
22 Aug 2023
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data
Zekai Chen
Fuyi Wang
Zhiwei Zheng
Ximeng Liu
Yujie Lin
FedML
AAML
27
3
0
01 Jul 2023
A First Order Meta Stackelberg Method for Robust Federated Learning
A First Order Meta Stackelberg Method for Robust Federated Learning
Yunian Pan
Tao Li
Henger Li
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
FedML
35
10
0
23 Jun 2023
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated
  Learning under Non-IID Scenarios
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios
Haochen Mei
Gaolei Li
Jun Wu
Longfei Zheng
SILM
AAML
16
11
0
13 Jun 2023
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local
  Ultimate Gradients Inspection
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection
Thuy-Dung Nguyen
Anh Duy Nguyen
Kok-Seng Wong
H. Pham
T. Nguyen
Phi Le Nguyen
Truong Thao Nguyen
FedML
AAML
28
4
0
29 Apr 2023
STDLens: Model Hijacking-Resilient Federated Learning for Object
  Detection
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
Ka-Ho Chow
Ling Liu
Wenqi Wei
Fatih Ilhan
Yanzhao Wu
AAML
FedML
19
10
0
21 Mar 2023
Learning to Backdoor Federated Learning
Learning to Backdoor Federated Learning
Henger Li
Chen Wu
Senchun Zhu
Zizhan Zheng
FedML
25
10
0
06 Mar 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning
BayBFed: Bayesian Backdoor Defense for Federated Learning
Kavita Kumari
Phillip Rieger
Hossein Fereidooni
Murtuza Jadliwala
A. Sadeghi
AAML
FedML
31
31
0
23 Jan 2023
Poisoning Attacks and Defenses in Federated Learning: A Survey
Poisoning Attacks and Defenses in Federated Learning: A Survey
S. Sagar
Chang-Sun Li
S. W. Loke
Jinho Choi
OOD
FedML
18
9
0
14 Jan 2023
FedRecover: Recovering from Poisoning Attacks in Federated Learning
  using Historical Information
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information
Xiaoyu Cao
Jinyuan Jia
Zaixi Zhang
Neil Zhenqiang Gong
FedML
MU
AAML
29
73
0
20 Oct 2022
FedPerm: Private and Robust Federated Learning by Parameter Permutation
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Hamid Mozaffari
Virendra J. Marathe
D. Dice
FedML
24
4
0
16 Aug 2022
A Knowledge Distillation-Based Backdoor Attack in Federated Learning
A Knowledge Distillation-Based Backdoor Attack in Federated Learning
Yifan Wang
Wei Fan
Keke Yang
Naji Alhusaini
Jing Li
AAML
FedML
29
3
0
12 Aug 2022
FLVoogd: Robust And Privacy Preserving Federated Learning
FLVoogd: Robust And Privacy Preserving Federated Learning
Yuhang Tian
Rui Wang
Yan Qiao
E. Panaousis
K. Liang
FedML
28
4
0
24 Jun 2022
DECK: Model Hardening for Defending Pervasive Backdoors
DECK: Model Hardening for Defending Pervasive Backdoors
Guanhong Tao
Yingqi Liu
Shuyang Cheng
Shengwei An
Zhuo Zhang
Qiuling Xu
Guangyu Shen
Xiangyu Zhang
AAML
26
7
0
18 Jun 2022
CELEST: Federated Learning for Globally Coordinated Threat Detection
CELEST: Federated Learning for Globally Coordinated Threat Detection
Talha Ongun
Simona Boboila
Alina Oprea
Tina Eliassi-Rad
Jason Hiser
Jack W. Davidson
FedML
25
4
0
23 May 2022
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine
  Learning
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning
Ziyao Liu
Jiale Guo
Kwok-Yan Lam
Jun Zhao
12
80
0
31 Mar 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
117
611
0
27 Dec 2020
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Rohan Doshi
Noah J. Apthorpe
Nick Feamster
100
587
0
11 Apr 2018
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