24 citations · 24 across the 2 of their papers we have counts for
4 papers
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…
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…
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…
A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles
Minh Pham, Kaiqi Xiong
Autonomous Vehicle has been transforming intelligent transportation systems. As telecommunication technology improves, autonomous vehicles are getting connected to each other and t…