Grid-based belief propagation. - Yang Song 012; Chong Xiao Wang; Wee Peng Tay; Choi Look Law (IPIN, 2017)

Preserving Parameter Privacy in Sensor Networks. - Chong Xiao Wang; Yang Song 012; Wee Peng Tay (GlobalSIP, 2018)

Privacy-Aware Kalman Filtering. - Yang Song 012; Chong Xiao Wang; Wee Peng Tay (ICASSP, 2018)

Data-driven Privacy With Domain Regularization. - Chong Xiao Wang; Wee Peng Tay (GLOBECOM, 2020)

Maximum Privacy under Perfect Utility in Sensor Networks. - Chong Xiao Wang; Wee Peng Tay; Yang Song 012 (SAM, 2020)

Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation. - Chong Xiao Wang; Yang Song 012; Wee Peng Tay (CoRR, 2020)

Data-driven Regularized Inference Privacy. - Chong Xiao Wang; Wee Peng Tay (CoRR, 2020)

Compressive Privacy for a Linear Dynamical System. - Yang Song 012; Chong Xiao Wang; Wee Peng Tay (IEEE Trans. Inf. Forensics Secur., 2020)

Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems. - Chong Xiao Wang; Yang Song 012; Wee Peng Tay (IEEE Trans. Inf. Forensics Secur., 2021)

Preserving Trajectory Privacy in Driving Data Release. - Yi Xu 014; Chong Xiao Wang; Yang Song 012; Wee Peng Tay (ICASSP, 2022)

Practical Bounds of Kullback-Leibler Divergence Using Maximum Mean Discrepancy. - Chong Xiao Wang; Wee Peng Tay (CoRR, 2022)

On the Relationship Between Information-Theoretic Privacy Metrics And Probabilistic Information Privacy. - Chong Xiao Wang; Wee Peng Tay (CoRR, 2023)