- “IDT: Dual-Task Adversarial Attacks for Privacy Protection” accepted by Computational Linguistics (CL)
- “Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation” accepted by Transactions on Machine Learning Research (TMLR)
- Four papers accepted to EMNLP 2025
- Three papers accepted to ACL 2025
- One demo paper accepted to WWW 2025
- “Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients” accepted to EMNLP 2024
- “SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks” accepted by TACL
- “Backdoor Attacks on Multilingual Machine Translation” accepted to NAACL
- Awards:
- Won Macquarie University Research Pitching Session twice
- Students awarded CIS PhD scholarship and DFCRC scholarship
- Projects:
- Anti-BAD competition supported by Google Cloud Research Credits Program
- Seed grant from Macquarie University Incubator
Research Experience
- Lecturer at Macquarie University
- Honorary Fellow at University of Melbourne
- Former Research Fellow at University of Melbourne
Education
- Ph.D. from Australian National University
- Advisor Information: Not provided
Background
- Research Interests: Natural Language Processing, Privacy & Security, Machine Learning and Data Mining
- Professional Field: Auditing machine learning models, specifically 1) identifying and addressing privacy and security issues in ML/NLP models and their applications; 2) developing comprehensive evaluation theory and methods for ML/NLP models from various perspectives