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Towards Bidirectional Protection in Federated Learning
v1v2 (latest)

Towards Bidirectional Protection in Federated Learning

2 October 2020
Lun Wang
Qi Pang
Shuai Wang
Basel Alomair
    FedML
ArXiv (abs)PDFHTML

Papers citing "Towards Bidirectional Protection in Federated Learning"

14 / 14 papers shown
Title
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Hongyi Wang
Kartik K. Sreenivasan
Shashank Rajput
Harit Vishwakarma
Saurabh Agarwal
Jy-yong Sohn
Kangwook Lee
Dimitris Papailiopoulos
FedML
87
611
0
09 Jul 2020
Data Poisoning Attacks on Federated Machine Learning
Data Poisoning Attacks on Federated Machine Learning
Gan Sun
Yang Cong
Jiahua Dong
Qiang Wang
Ji Liu
FedMLAAML
65
207
0
19 Apr 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
274
444
0
04 Mar 2020
Robust Aggregation for Federated Learning
Robust Aggregation for Federated Learning
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
FedML
124
664
0
31 Dec 2019
Attack-Resistant Federated Learning with Residual-based Reweighting
Attack-Resistant Federated Learning with Residual-based Reweighting
Shuhao Fu
Chulin Xie
Yue Liu
Qifeng Chen
FedMLAAML
83
93
0
24 Dec 2019
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
275
6,294
0
10 Dec 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Minghong Fang
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
AAMLOODFedML
116
1,121
0
26 Nov 2019
Can You Really Backdoor Federated Learning?
Can You Really Backdoor Federated Learning?
Ziteng Sun
Peter Kairouz
A. Suresh
H. B. McMahan
FedML
75
579
0
18 Nov 2019
Statistical Model Aggregation via Parameter Matching
Statistical Model Aggregation via Parameter Matching
Mikhail Yurochkin
Mayank Agarwal
S. Ghosh
Kristjan Greenewald
T. Hoang
FedML
56
31
0
01 Nov 2019
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
81
2,332
0
13 Feb 2019
Defending Against Saddle Point Attack in Byzantine-Robust Distributed
  Learning
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
FedML
83
100
0
14 Jun 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
OODFedML
129
1,517
0
05 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
285
8,928
0
25 Aug 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
278
4,160
0
18 Oct 2016
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