Kok-Seng Wong, PhD
Scholar

Kok-Seng Wong, PhD

Google Scholar ID: WQyULhIAAAAJ
Associate Professor, College of Engineering & Computer Science, VinUniversity
Information SecurityData PrivacyTrustworthy AIFederated Learning
Citations & Impact
All-time
Citations
701
 
H-index
14
 
i10-index
20
 
Publications
20
 
Co-authors
23
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - The paper titled 'Clean-Label Physical Backdoor Attacks with Data Distillation' has been accepted at the Reliable ML from Unreliable Data workshop at NeurIPS 2025.
  • - The paper 'An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity' was accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
  • - The work 'SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning for Image Transmission' was accepted by IEEE Transactions on Mobile Computing (TMC).
  • - Several papers including HFedATM, pFedDSH, and FLAT were released on arXiv.
Research Experience
  • Located within VinUniversity's College of Engineering and Computer Science, the Security and Artificial Intelligence Lab (SAIL).
Background
  • Research interests include trustworthy AI, simplifying the development and deployment of machine learning models while ensuring their robustness, low-complexity generative approaches, strengthening algorithmic robustness, and addressing critical challenges in machine learning and federated learning to enhance security, privacy, efficiency, and fairness.
Miscellany
  • Looking for passionate new PhD students, Postdocs, and Master students to join the team.