2 citations · 2 across the 1 of their papers we have counts for
4 papers
Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection in AMI through Adversarial Attacks
Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun
Effective detection of energy theft can prevent revenue losses of utility companies and is also important for smart grid security. In recent years, enabled by the massive fine-grai…
SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection
Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun
Energy theft causes large economic losses to utility companies around the world. In recent years, energy theft detection approaches based on machine learning (ML) techniques, espec…
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun +2
Recent research demonstrated that the superficially well-trained machine learning (ML) models are highly vulnerable to adversarial examples. As ML techniques are becoming a popular…
Dynamic Multi-level Privilege Control in Behavior-based Implicit Authentication Systems Leveraging Mobile Devices
Yingyuan Yang, Xueli Huang, Yanhui Guo +1
Implicit authentication (IA) is gaining popularity over recent years due to its use of user behavior as the main input, relieving users from explicit actions such as remembering an…