Papers
3
Total Citations
28
H-Index
3
About
Zeran Zhu is a researcher at the intersection of cybersecurity and robotics, known for pioneering work on threats to surgical robots and adversarial machine learning. Their most cited paper, "Smart Malware that Uses Leaked Control Data of Robotic Applications: The Case of Raven-II Surgical Robots" (2019, 16 citations), demonstrates how malware can exploit leaked control data to compromise robotic systems, highlighting critical vulnerabilities in medical robotics. Zhu also explores tactile sensing innovation with "Enhanced morphology perception of vision-based robotic tactile sensors by multi-metal nanofilms" (2024, 7 citations), advancing sensor accuracy for robotic manipulation. Additionally, "Machine Learning in the Hands of a Malicious Adversary: A Near Future If Not Reality" (2021, 5 citations) examines the dual-use potential of machine learning in cybersecurity, warning of adversarial exploitation. With a focus on robotic security, adversarial ML, and sensor technology, Zhu’s work has significant implications for safe AI deployment and resilient cyber-physical systems. Their research bridges theoretical threats and practical defenses, making it essential reading for students and researchers in robotics and cybersecurity.
Research Focus
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