One Paper Accepted by IEEE S&P 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 “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.
Our paper “MExMI: Pool-based Active Model Extraction Crossover Membership Inference” has been accepted in Thirty-Sixth Conference on Neural Information Processing Systems.
A research project entitled “Evasive Federated Learning Attacks through Differential Privacy: Mechanisms and Mitigations ” has been awarded by Research Grant Council, HKSAR with HK$941,434 (2023-2025).
Our paper “DDRM: A Continual Frequency Estimation Mechanism with Local Differential Privacy” has been accepted for publish in IEEE Transactions on Knowledge and Data Engineering (TKDE).