Nathan Lau

About

Nathan Lau is a cybersecurity researcher whose work focuses on the emerging vulnerabilities of social robots in public spaces. His most-cited paper, "Threat Actors and Methods of Attack to Social Robots in Public Spaces" (2023), has garnered 5 citations, establishing him as a pioneering voice in this niche but rapidly growing field. Lau systematically identifies the unique threat landscape facing interactive robots deployed in malls, airports, and hospitals, categorizing attack methods from adversarial machine learning to physical tampering. His research bridges robotics, human-computer interaction, and information security, offering practical taxonomies that help developers and policymakers anticipate risks before widespread deployment. By mapping potential threat actors—from malicious hackers to unwitting users—Lau provides a foundational framework for securing autonomous social agents. His work is particularly notable for its forward-looking perspective, addressing safety concerns that will become critical as social robots proliferate in everyday environments. For students and researchers, Lau’s contributions highlight the urgent need to embed cybersecurity into the design lifecycle of interactive technologies, ensuring that public-facing robots remain trustworthy and resilient.

Research Focus

Key Achievements

Top Papers

1. 1
   Threat Actors and Methods of Attack to Social Robots in Public Spaces

   5 citations · 2023

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Contact & Links