3 papers
eess.SY2021
Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation
Jing Lin, Kaiqi Xiong
Many researchers have studied false data injection (FDI) attacks in power state estimation, but existing state estimation approaches are still highly vulnerable to FDI attacks. In…
cs.LG2021
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Jing Lin, Ryan Luley, Kaiqi Xiong
Deep neural networks usually require large labeled datasets for training to achieve state-of-the-art performance in many tasks, such as image classification and natural language pr…
cs.LG2020
An Adversarial Attack Defending System for Securing In-Vehicle Networks
Yi Li, Jing Lin, Kaiqi Xiong
In a modern vehicle, there are over seventy Electronics Control Units (ECUs). For an in-vehicle network, ECUs communicate with each other by following a standard communication prot…