GRF Research Grant Awarded
A research project entitled “Sword of Two Edges: Adversarial Machine Learning from Privacy-Aware Users” has been awarded by Research Grant Council, HKSAR with HK$838,393 (2022-2024).
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One Paper Accepted in IEEE TMC
Our paper “Post-Streaming Wastage Analysis – A Data Wastage Aware Framework in Mobile Video Streaming ” has been accepted for publish in IEEE Transactions on Mobile Computing (TMC).
One Paper Accepted in IEEE SECON 2021
Our paper “Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy” has been accepted for publish in IEEE International Conference on Sensing, Communication and Networking (SECON), 2021.
Best Paper Award
Our paper “An extraction attack on image recognition model using VAE-kdtree model” has received the Best Paper Award in the International Workshop on Advanced Imaging Technology (IWAIT) 2021.
One Paper Accepted in IEEE TKDE
Our paper “LF-GDPR: A Framework for Estimating Graph Metrics with Local Differential Privacy ” has been accepted for publish in IEEE Transactions on Knowledge and Data Engineering.
One Paper Accepted in IEEE INFOCOM 2021
Our paper “Beyond Value Perturbation: Differential Privacy in the Temporal Setting” has been accepted for publish in IEEE International Conference on Computer Communications (INFOCOM’21).
One Paper Accepted in IEEE TDSC
Our paper “Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation” has been accepted for publish in IEEE Transactions on Dependable and Secure Computing.
New NSFC Project Awarded
I have 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.
Two Papers Accepted in IEEE Intelligent Systems and CIKM 2020
Our paper “Preserving User Privacy For Machine Learning: Local Differential Privacy or Federated Machine Learning? ” has been accepted for publish in IEEE Intelligent Systems. Our paper “OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors” has been accepted for publish in ACM CIKM 2020.
GRF Research Grant Awarded
A research project entitled “Securing Models and Data for Machine Learning at the Edge” has been awarded by Research Grant Council, HKSAR with HK$845,055 (2021-2023).