Pierre Moulin

Pierre Moulin is a Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, with additional appointments at the Beckman Institute for Advanced Science and Technology, Department of Statistics, Information Trust Institute, and Coordinated Science Lab. His research bridges information theory, signal processing, and machine learning with security applications.

His primary research focuses on adversarial machine learning, where he develops theoretical frameworks for detecting attacks and improving system robustness. Key areas include watermarking, fingerprinting, and mutual information analysis, often employing information-theoretic approaches to solve security challenges in computer vision and neural networks. His work demonstrates strong interdisciplinary collaboration across engineering and statistics domains.

Analysis of his 2022-2024 publications reveals concentrated efforts in adversarial attack detection, with significant contributions to disentangling perturbations in natural images, semi-supervised metric learning, and universal adversarial perturbation detection. These works predominantly appear in top security and computer vision venues like IEEE Transactions on Information Forensics and Security and CVPR, emphasizing practical defense mechanisms for machine learning systems.

His notable scientific achievements include:

• IEEE Fellow (2003)
• NSF CAREER Award (1998)

The available information does not specify student advising activities or grant funding details.

Professor Moulin conducts research through Illinois' premier interdisciplinary hubs: the Beckman Institute for Advanced Science and Technology (focusing on fundamental science), Coordinated Science Lab (specializing in computing systems), and Information Trust Institute (addressing security and privacy challenges), enabling comprehensive exploration of secure machine learning systems.