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02/17/2021
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids
False data injection attack (FDIA) is a critical security issue in power...
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10/16/2020
Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection in AMI through Adversarial Attacks
Effective detection of energy theft can prevent revenue losses of utilit...
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06/15/2020
BubbleMap: Privilege Mapping for Behavior-based Implicit Authentication Systems
Implicit authentication (IA) is gaining popularity over recent years due...
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06/13/2020
EchoIA: Implicit Authentication System Based on User Feedback
Implicit authentication (IA) transparently authenticates users by utiliz...
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06/02/2020
SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection
Energy theft causes large economic losses to utility companies around th...
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03/12/2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Recent research demonstrated that the superficially well-trained machine...
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08/02/2018