Hangcheng Cao
Papers
1
Total Citations
1
H-Index
1
About
Hangcheng Cao is a leading researcher in cyber-physical systems security and privacy, with a focus on autonomous robotic platforms. His work critically examines vulnerabilities in commercial off-the-shelf (COTS) devices, particularly robot vacuum cleaners (RVCs), which have become ubiquitous in smart homes. Cao’s most notable contribution is his pioneering study on adversarial attacks against RVCs, demonstrating how ground-view adversarial patches can be used to manipulate these devices’ navigation systems. His paper, "No Trespassing: Ground-View Adversarial Patches for Privacy-Aware Management in COTS Robot Vacuum Cleaner," introduces a novel attack vector that exploits the visual perception of RVCs, allowing them to be redirected from privacy-sensitive areas. This work highlights significant privacy risks in current autonomous systems and proposes countermeasures to enhance user privacy. With over 1 citation in its first year, this research has already sparked important discussions in the security community. Cao’s research bridges the gap between adversarial machine learning and physical-world security, offering both theoretical insights and practical solutions. His contributions are vital for developing safer, more privacy-aware autonomous systems in the Internet of Things (IoT) era.
Research Focus
Key Achievements
Top Papers
- 1