Published several papers, including 'PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness' which was accepted by ACM MM 2023.
Research Experience
Involved in trustworthy ML projects, focusing on enhancing the safety of self-driving cars and developing applications of AI in medicine.
Background
Research interests include building robust machine learning models, exploring areas such as adversarial attack/defense, backdoor attack/defense; prioritizes privacy protection for ML systems through techniques like differential privacy and secure multi-party computation.