18 citations · 55 across the 20 of their papers we have counts for
6 papers · 1 filter
Latent Group Structured Multi-task Learning
Xiangyu Niu, Yifan Sun, Jinyuan Sun
In multi-task learning (MTL), we improve the performance of key machine learning algorithms by training various tasks jointly. When the number of tasks is large, modeling task stru…
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…
BubbleMap: Privilege Mapping for Behavior-based Implicit Authentication Systems
Yingyuan Yang, Xueli Huang, Jiangnan Li +1
Leveraging users' behavioral data sampled by various sensors during the identification process, implicit authentication (IA) relieves users from explicit actions such as rememberin…
EchoIA: Implicit Authentication System Based on User Feedback
Yingyuan Yang, Xueli Huang, Jiangnan Li +1
Implicit authentication (IA) transparently authenticates users by utilizing their behavioral data sampled from various sensors. Identifying the illegitimate user through constantly…
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…