Published numerous papers in top-tier venues including NeurIPS, CVPR, ICCV, ECCV, WWW, EuroSys, ICDM, IEEE TPDS, and IEEE TIFS
Key contributions on label/gradient leakage in federated learning, backdoor attacks, gradient inversion attacks, privacy-preserving face recognition, and genomic data privacy
Recipient of the IBM PhD Fellowship (2022)
Awarded the Croucher Scholarship (2021)
Granted RGC Early Career Scheme funding (2024) to investigate novel backdoor threats in federated learning
Received Croucher Foundation funding (2024) to enhance accountability in distributed machine learning
Developed and released Security4AI vLab and AI-Privacy vLab to demonstrate AI security and privacy vulnerabilities