Neil Gong

Neil Gong is an Associate Professor of Electrical and Computer Engineering at Duke University. His research focuses on cybersecurity and trustworthy AI. He holds a B.E. from the University of Science and Technology of China (USTC) and a Ph.D. in Computer Science from the University of California, Berkeley. His work includes contributions to cybersecurity, privacy, and machine learning. Gong has received several awards, including the NSF CAREER Award, Army Research Office YIP Award, and multiple best paper awards. He teaches courses such as ECE 899 and ECE 663, and his research has been published in top conferences and journals.

Neil Zhenqiang Gong is an Associate Professor at Duke University specializing in Security, AI Security/Safety, and Social Networks Security. His research focuses on developing robust security mechanisms for federated learning, large language models, and graph neural networks. Gong's work addresses critical vulnerabilities such as model poisoning, backdoor attacks, and prompt injection, aiming to enhance the trustworthiness and safety of AI systems. He also investigates security challenges in social networks, including attribute inference and link prediction. His contributions emphasize formalizing attacks, benchmarking defenses, and ensuring the integrity of machine learning models in distributed and collaborative environments.