Published in top venues including S&P, NDSS, USENIX Security, NeurIPS, IJCAI, AAAI, WWW, ICDM, ACM CSUR, TDSC.
17 conference papers and 6 journal articles.
Notable publications:
- 'When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning' (ACM CCS 2025)
- 'A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services' (NDSS 2024)
- 'DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts' (USENIX Security 2024)
Background
Currently Lecturer at the School of Information and Physical Sciences, The University of Newcastle, Australia.
Research focuses on enhancing the trustworthiness of machine learning systems by identifying critical privacy vulnerabilities and developing robust defensive strategies.
Key research areas: Data Privacy, Machine Unlearning, Trustworthy Machine Learning.
Serves as Program Committee member for top-tier conferences including USENIX Security, NDSS, ICLR, IJCAI, WWW, ICDM, ECML, PKDD, etc.
Regular reviewer for prestigious journals such as TIFS, TDSC, IEEE IPAMI, ACM CSUR, TKDE, Computer & Security.