Ka-Ho Chow
Scholar

Ka-Ho Chow

Google Scholar ID: 2spsaBIAAAAJ
The University of Hong Kong
Trustworthy AICybersecurityML for SystemsSystems for ML
Citations & Impact
All-time
Citations
2,000
 
H-index
19
 
i10-index
25
 
Publications
20
 
Co-authors
47
list available
Resume (English only)
Academic Achievements
  • 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