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Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection
  in AMI through Adversarial Attacks

Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection in AMI through Adversarial Attacks

16 October 2020
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
    AAML
ArXivPDFHTML

Papers citing "Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection in AMI through Adversarial Attacks"

2 / 2 papers shown
Title
A Novel Combined Data-Driven Approach for Electricity Theft Detection
A Novel Combined Data-Driven Approach for Electricity Theft Detection
Kedi Zheng
Qixin Chen
Y. Wang
Chongqing Kang
Q. Xia
27
209
0
11 Nov 2024
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
1