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Data Poisoning Attacks and Defenses to Crowdsourcing Systems

Data Poisoning Attacks and Defenses to Crowdsourcing Systems

18 February 2021
Minghong Fang
Minghao Sun
Qi Li
Neil Zhenqiang Gong
Jinhua Tian
Jia-Wei Liu
ArXivPDFHTML

Papers citing "Data Poisoning Attacks and Defenses to Crowdsourcing Systems"

5 / 5 papers shown
Title
Robust Decision Aggregation with Adversarial Experts
Robust Decision Aggregation with Adversarial Experts
Yongkang Guo
Yuqing Kong
19
0
0
13 Mar 2024
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for
  Federated Learning
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Jianyi Zhang
Fangjiao Zhang
Qichao Jin
Zhiqiang Wang
Xiaodong Lin
X. Hei
AAML
FedML
17
0
0
28 Dec 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in
  Contrastive Learning
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning
Hongbin Liu
Jinyuan Jia
Neil Zhenqiang Gong
17
33
0
13 May 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
102
595
0
27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,014
0
29 Nov 2018
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