15 citations · 37 across the 5 of their papers we have counts for
5 papers
SoK: On the Semantic AI Security in Autonomous Driving
Junjie Shen, Ningfei Wang, Ziwen Wan +10
Autonomous Driving (AD) systems rely on AI components to make safety and correct driving decisions. Unfortunately, today's AI algorithms are known to be generally vulnerable to adv…
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems
Ziyuan Zhong, Zhisheng Hu, Shengjian Guo +3
Advanced Driver-Assistance Systems (ADAS) have been thriving and widely deployed in recent years. In general, these systems receive sensor data, compute driving decisions, and outp…
Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing
Zhisheng Hu, Shengjian Guo, Zhenyu Zhong +1
Simulation-based virtual testing has become an essential step to ensure the safety of autonomous driving systems. Testers need to handcraft the virtual driving scenes and configure…
ROPNN: Detection of ROP Payloads Using Deep Neural Networks
Xusheng Li, Zhisheng Hu, Haizhou Wang +4
Return-oriented programming (ROP) is a code reuse attack that chains short snippets of existing code to perform arbitrary operations on target machines. Existing detection methods…
On convergence rates of game theoretic reinforcement learning algorithms
Zhisheng Hu, Minghui Zhu, Ping Chen +1
This paper investigates a class of multi-player discrete games where each player aims to maximize its own utility function. Each player does not know the other players' action sets…