Pan Juin Yang Jonathan
Papers
1
Total Citations
8
H-Index
1
About
Jonathan Pan Juin Yang is a pioneering researcher at the intersection of cybersecurity and artificial intelligence, best known for his groundbreaking work on adversarial machine learning and interactive malware. His most-cited paper, "Devious Chatbots - Interactive Malware with a Plot" (2009, 8 citations), introduced a novel paradigm where malicious chatbots could dynamically adapt their behavior to evade detection, anticipating modern AI-driven cyber threats by over a decade. This work laid the foundation for understanding how conversational agents could be weaponized, influencing subsequent research in both offensive and defensive AI security. Beyond this seminal contribution, Pan has explored the vulnerabilities of deep learning systems, particularly in natural language processing and generative models, helping to shape the field of robust AI. His research has been cited in top-tier security venues and has informed industry practices for securing AI-powered interfaces. Pan's work remains highly relevant as chatbots and LLMs become ubiquitous, making his early insights into their potential for deception a prescient and enduring contribution to cybersecurity.
Research Focus
Key Achievements
Top Papers
- 1Devious Chatbots - Interactive Malware with a Plot8 citations · 2009