Gang Wang

Gang Wang is an Associate Professor in the Department of Computer Science at the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign (UIUC). He serves as the Associate Director of the Capital One Illinois Center for Generative AI Safety and holds courtesy affiliations with the Department of Electrical and Computer Engineering, Security and Privacy Research at Illinois (SPRAI), and the Coordinated Science Laboratory (CSL).

His research focuses on developing explainable and robust machine learning systems to enhance internet security and privacy. Key areas include adversarial machine learning, deepfake detection, phishing prevention, and security of social computing platforms. He actively contributes to major conferences like USENIX Security, CCS, NDSS, and ICML.

Recent publications highlight his work on LLM benchmark contamination, VLM jailbreaks, and deepfake profile detection. His research team has produced award-winning papers at CHI and IEEE SP, with grants from NSF, Amazon, and Google. Notable students include Qingying Hao and Limin Yang, who co-authored multiple high-impact papers.