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Clean-label poisoning attacks on federated learning for IoT
Jie Yang
, Jun Zheng
, Thar Baker
, Shuai Tang
, Yu an Tan
, Quanxin Zhang
School of Arch, Tech and Eng
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
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Keyphrases
Internet of Things
100%
Federated Learning
100%
Poisoning Attack
100%
Clean Label
100%
Attack Strategy
66%
Clean-label Attack
66%
Backdoor Attack
66%
Adversary
33%
Byzantine Empire
33%
Security Privacy
33%
Defense Method
33%
High Probability
33%
Industrial Internet of Things (IIoT)
33%
Concealment
33%
Global Model
33%
Poisoning
33%
Data Privacy
33%
Internet of Things Applications
33%
Federated Learning System
33%
Edge Collaboration
33%
Model Poisoning Attack
33%
Edge Cloud
33%
Small Perturbation
33%
Attack Success Rate
33%
Cosine Similarity
33%
Active Attack
33%
Data Security
33%
Adversarial Loss
33%
Training Loss
33%
Peak Signal to Noise Ratio
33%
Computer Science
Federated Learning
100%
Internet-Of-Things
100%
Backdoors
50%
Experimental Result
25%
Security and Privacy
25%
Industrial Internet of Things
25%
Cosine Similarity
25%
Learning Framework
25%
Data Privacy
25%
Data Security
25%
peak signal to noise ratio
25%
Structural Similarity
25%
Application Scenario
25%
Successful Attack
25%