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GRF Research Grant Awarded
A research project entitled ” Local Tweaks for Privacy-Preserving Training in Machine Learning at Scale ” has been awarded by Research Grant Council, HKSAR with HK$1,228,619 (2024-2026).
A research project entitled ” Local Tweaks for Privacy-Preserving Training in Machine Learning at Scale ” has been awarded by Research Grant Council, HKSAR with HK$1,228,619 (2024-2026).
Our paper “Collaborative Sampling for Partial Multi-dimensional Value Collection under Local Differential Privacy” has been accepted by IEEE TIFS. Our paper “PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization” has been accepted by IEEE TKDE.
Our paper “Trajectory Data Collection with Local Differential Privacy” has been accepted by PVLDB 2023.
I have been promoted to full professor with effect from 1 July 2023.
Our paper “3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning” has been accepted by IEEE S&P 2023.
Our paper “Differential Aggregation against General Colluding Attackers” has been accepted by IEEE ICDE 2023.
A research project entitled “数据源和机器学习模型双向安全策略研究 ” has been awarded by the Major Research Plan of the National Natural Science Foundation of China with CNY¥800,000 (2023-2025).
Our paper “Stateful Switch: Optimized Time Series Release with Local Differential Privacy” has been accepted by IEEE INFOCOM 2023.
Our paper “TED: Towards Discovering Top-? Edge-Diversified Patterns in a Graph Database” has been accepted by ACM SIGMOD 2023.