Lam, Kwok-Yan

Local Differential Privacy-Based Federated Learning for Internet of Things

Zhao, Y., Zhao, J., Yang, M., Wang, T., Wang, N., Lyu, L., Niyato, D., & Lam, K.-Y. (2021) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting

Cited by 456

Lead federated neuromorphic learning for wireless edge artificial intelligence

Yang, H., Lam, K.-Y., Xiao, L., Xiong, Z., Hu, H., Niyato, D., & Vincent Poor, H. (2022) · Nature Communications

Privacy-Preserving Technologies in DataAdvanced Memory and Neural Computing

Cited by 127

An Artificial Neural Network and Entropy Model for Residential Property Price Forecasting in Hong Kong

Lam, K. C., Yu, C. Y., & Lam, K. Y. (2008) · Journal of Property Research

Housing Market and EconomicsForecasting Techniques and Applications

Cited by 68

Privacy Preserving Location-Aware Personalized Web Service Recommendations

Badsha, S., Yi, X., Khalil, I., Liu, D., Nepal, S., Bertino, E., & Lam, K. Y. (2021) · IEEE Transactions on Services Computing

Recommender Systems and TechniquesPrivacy-Preserving Technologies in Data

Cited by 56

Identity in the Internet-of-Things (IoT): New Challenges and Opportunities

Lam, K.-Y., & Chi, C.-H. (2016) · Lecture Notes in Computer Science

Advanced Authentication Protocols SecurityIoT and Edge/Fog Computing

Cited by 49

LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge

Li, S., Xu, C., Wang, J., Gong, X., Chen, C., Zhang, J., Wang, J., Lam, K.-Y., & Ji, S. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 40

Secure and Lightweight Compressive Sensing Using Stream Cipher

Pudi, V., Chattopadhyay, A., & Lam, K.-Y. (2018) · IEEE Transactions on Circuits and Systems II: Express Briefs

Sparse and Compressive Sensing TechniquesChaos-based Image/Signal Encryption

Cited by 31