Chang Ee-Chien

Chang Ee-Chien is an Associate Professor in the School of Computing at the National University of Singapore. He holds a Ph.D. in Computer Science from New York University and previously served as a postdoctoral fellow at DIMACS in Rutgers University and NEC Labs America. His research focuses on information security, multimedia, and their intersection, with areas including data privacy, cloud security, and cryptographic techniques. He is the lead principal investigator of the National Cybersecurity R&D Laboratory and has published in prominent conferences and journals such as CCS, EUROCRYPT, and ACM Multimedia. His work includes topics like image forensic, secure cryptographic methods, and adversarial machine learning.

Ee-Chien Chang is a researcher at the National University of Singapore with expertise in Machine Learning Security and Multimedia Security. His work explores the intersection of machine learning and security, focusing on adversarial machine learning, data inference attacks, and secure data storage. He has published extensively on topics such as neural network inversion, client-side deduplication, and watermarking techniques. His research also addresses vulnerabilities in cloud storage, searchable encryption, and digital image forensics. Chang's contributions span both theoretical and applied aspects of security, with an emphasis on robustness and privacy in modern computing systems.