Min Chen

Dr. Min Chen is an Assistant Professor in Computer Science at Vrije Universiteit Amsterdam's Faculty of Science, with joint affiliation to the Network Institute. Her research focuses on security and privacy challenges in machine learning systems.

Her work addresses privacy vulnerabilities in AI through techniques like differential privacy and membership inference attack prevention, with applications to graph neural networks, facial recognition, and text-to-image models. Recent publications explore dataset copyright auditing, poisoning attacks against recommender systems, and privacy-preserving graph data publication.

Dr. Chen develops practical frameworks including DPMLBench for privacy algorithm evaluation, PrivGraph for graph anonymization, and FACE-AUDITOR for biometric system compliance. Her research advances both theoretical foundations and practical implementations for trustworthy AI systems.