A Survey on Federated Unlearning: Challenges, Methods, and Future Directions 
Ziyao Liu, Yu Jiang, Jiyuan Shen, Minyi Peng, Kwok-Yan Lam, Xingliang Yuan, Xiaoning Liu., 15-Jul-2024

Auditable and Verifiable Federated Learning Based on Blockchain-Enabled Decentralization 
A. Kalapaaking, I. Khalil, X. Yi, K.Y. Lam, G.B. Huang, N. Wang., 14- Jun-2024 

Boosting Black-Box Attack to Deep Neural Networks With Conditional Diffusion Models 
R. Liu, W. Zhou, T. Zhang, K. Chen, J. Zhao and K.Y. Lam., 17- Apr- 2024

Local Differential Privacy and Its Applications: A Comprehensive Survey
M. Yang, I. Tjuawinata, K.Y. Lam, T. Zhu, J. Zhao., Apr-2024

Dynamic User Clustering for Efficient and Privacy-Preserving Federated Learning
Z. Liu, J. Guo, W. Yang, J. Fan, K.Y. Lam and J. Zhao., 19-Jan-2024

Efficient FHE-based Privacy-Enhanced Neural Network for Trustworthy AI-as-a-Service
K.Y. Lam, X. Lu, L. Zhang, X. Wang, H. Wang and S.Q. Goh., 12-Jan-2024

An Efficient FHE-Enabled Secure Cloud-Edge Computing Architecture for IoMTs Data Protection With Its Application to Pandemic Modelling 
L. Zhang, X. Wang, J. Wang, R. Pung, H. Wang and K.Y. Lam., 29-Dec-2023

Survey on Digital Sovereignty and Identity: From Digitization to Digitalization 
Kheng Leong Tan, Chi-Hung Chi, Kwok-Yan Lam., 5-Oct-2023

An Advanced Integrated Visible Light Communication and Localization System”, IEEE Transactions on Communications
H. Yang, S. Zhang, A. Alphones, C. Chen, K.Y. Lam, Z. Xiong, L. Xiao and Y. Zhang., 29-Aug-2023

Joint Device Scheduling and Bandwidth Allocation for Federated Learning over Wireless Networks
T. Zhang, K.Y. Lam, J. Zhao, J. Feng., 12-Jul-2023

Privacy-Preserving Aggregation in Federated Learning: A Survey 
Z. Liu, J. Guo, K.Y. Lam and J. Zhao.m., 15 -Jul-2022

Traceable policy-based signatures and instantiation from lattices 
Xu, Y., Safavi-Naini, R., Nguyen, K., & Wang, H., 2022

Bivariate polynomial-based secret sharing schemes with secure secret reconstruction.net/10356/163882 Ding, J., Ke, P., Lin, C., & Wang, H., 2022

https://www.sciencedirect.A new framework for deniable secure key exchange 
Jiang, S., Chee, Y. M., Ling, S., Wang, H., & Xing, C., 2022

Privacy-preserving statistical analysis over multi-dimensional aggregated data in edge computing-based smart grid systems 
Zhang, X., Huang, C., Gu, D., Zhang, J., Xue, J., & Wang, H., 2022

zkRep: A Privacy-Preserving Scheme for Reputation-Based Blockchain System
Huang, C., Zhao, Y., Chen, H., Wang, X., Zhang, Q., Chen, Y., ... & Lam, K. Y., 2021

https://hdl.handle.On the Efficiency of FHE-based Private Queries 
Myungsun Kim, Hyung Tae Lee, San Ling, & Huaxiong Wang., 2016

Analysis of Gong et al.'s CCA2-Secure Homomorphic Encryption 
 Hyung Tae Lee, San Ling, & Huaxiong Wang., 2016

Overcoming Data Barriers via Trustworthy Privacy-Enhancing Technologies  
GPAI partnership on AI, 2023. 
In 2022, the Data Governance Working Group, supported by Capgemini, explored using privacy-enhancing technologies in AI-for-social-good. They partnered with IMDA and Singapore’s Digital Trust Centre to demonstrate data sharing for pandemic resilience.

Digital Advertising In A Paradigm Without 3rd Party Cookies IMDA Pet Sandbox – Meta Case Study
Project with IMDA 2023. 
The project, completed under the IMDA PET Sandbox initiative, addressed challenges and solutions in digital advertising without third-party cookies. The findings are detailed in the paper "Digital Advertising in a Paradigm Without 3rd Party Cookies," published by IMDA in collaboration with Meta.  More information here