Our paper “MExMI: Pool-based Active Model Extraction Crossover Membership Inference” has been accepted in Thirty-Sixth Conference on Neural Information Processing Systems.
On Aug 30, Dr. Xi He from University of Waterloo, Canada gave a seminar talk “Privacy is Not an Afterthought” in Joint Speaker Series on Privacy and Security in AI and Big Data (4). The following link is the recorded video of this talk. video link
On Aug 9, Dr. Yang Cao from Kyoto University, Japan gave a seminar talk “Three Flavors of Differentially Private Federated Learning with Untrusted Server” in Joint Speaker Series on Privacy and Security in AI and Big Data (3). The following link is the recorded video of this talk. video link
On July 26, Dr. Neil Gong from Duke University, USA gave a seminar talk “Intellectual Property Protection in Machine Learning: Data, Hyperparameters, and Models” in Joint Speaker Series on Privacy and Security in AI and Big Data (2). The following link is the recorded video of this talk. video link
On July 19, Prof. Ninghui Li from Purdue University, USA gave a seminar talk “Differential Privacy: Potential and Limitations” in Joint Distinguished Speaker Series on Privacy and Security in AI and Big Data (1). The following link is the recorded video of this talk. video link
Dr. Hu has been awarded a RGC/GRF grant with project title “Evasive Federated Learning Attacks through Differential Privacy: Mechanisms and Mitigations”. The total amount is HK$941,434. Meanwhile, Dr. Hu has also been awarded a CRF with project title “User-Controlled Secure Data Sharing and Analytics with Blockchain and Trusted Computing Technologies” as a co-PI. The project coordinator is Prof. Jianliang Xu from Hong Kong Baptist University. […]
Dr. Hu has been awarded HK$838,393 for project titled “Sword of Two Edges: Adversarial Machine Learning from Privacy-Aware Users”. Dr. Ye has been awarded HK$838,393 for project titled “Byzantine-Robust Data Collection under Local Differential Privacy Model”.
Dr. Hu has been awarded a new NSFC project (面上项目, 2021-2024) with title “机器学习即服务中的防欺诈和完整性验证研究”, for 570,000 RMB.
We have openings for 1~2 PhD students (2021 in-take), 2~3 research assistants, and 4 postdoc researchers in the field of machine learning, data security and privacy. The detailed requirements are as follows: Bachelor or Master degree in Computer Science, Software Engineering or Information Engineering in well-known universities. Preferences are given to applicants with some research experience. Good programming skills in at least one mainstream language […]