معرفی
Neil Gong is an Associate Professor at Duke University's Pratt School of Engineering, holding primary and secondary appointments in Electrical and Computer Engineering and Computer Science respectively. His work bridges cybersecurity and trustworthy AI, with a focus on adversarial machine learning and secure systems.
- Education: Ph.D. in Computer Science (UC Berkeley, 2015), B.E. (USTC, 2010)
Research emphasizes AI security, including prompt injection attacks, federated learning safety, and watermark robustness in generative models. Recent publications analyze vulnerabilities in LLM agents, multi-modal systems, and graph-based security mechanisms.
His 2023-2025 publications reveal trends in LLM attack/defense (jailbreaking, watermarking), federated learning security (poisoning, Byzantine robustness), and privacy analytics (membership inference, data auditing).
- Notable Awards: NSF CAREER, Army Research Office YIP, IBM Faculty Award, Facebook Research Award
Teaching includes courses on machine learning in adversarial settings and advanced topics in ECE. Actively recruiting postdocs and graduate students for cybersecurity research.
