11 citations · 12 across the 14 of their papers we have counts for
4 papers · 1 filter
Anywhere, Any-Stymie: Remote Activation of Trojan Malware on LiDAR with Modulated Signals
R. Spencer Hallyburton, Miroslav Pajic
LiDAR sensors are widely deployed in autonomous systems for safety-critical 3D perception. We identify a previously unexplored attack surface in which dormant malware, embedded in…
Security-Aware Sensor Fusion with MATE: the Multi-Agent Trust Estimator
R. Spencer Hallyburton, Miroslav Pajic
Lacking security awareness, sensor fusion in systems with multi-agent networks such as smart cities is vulnerable to attacks. To guard against recent threats, we design security-aw…
What Would Trojans Do? Exploiting Partial-Information Vulnerabilities in Autonomous Vehicle Sensing
R. Spencer Hallyburton, Qingzhao Zhang, Z. Morley Mao +2
Safety-critical sensors in autonomous vehicles (AVs) form an essential part of the vehicle's trusted computing base (TCB), yet they are highly susceptible to attacks. Alarmingly, T…
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles
R. Spencer Hallyburton, Yupei Liu, Yulong Cao +2
To enable safe and reliable decision-making, autonomous vehicles (AVs) feed sensor data to perception algorithms to understand the environment. Sensor fusion with multi-frame track…