Six Papers Accepted by IEEE ICDE 2024
Our following papers are accepted by IEEE International Conference on Data Engineering (ICDE ’24), Utrecht, Netherlands, May 2024 as full research papers. Congratulations to all authors!
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Serving on IEEE TIFS Editorial Board
I start to serve as an associate editor on the editorial board of IEEE Transactions on Information Forensics and Security (TIFS).
One Paper Accepted by PVLDB 2024
Our paper “DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release” has been accepted by PVLDB 2024.
Serving on IEEE TKDE Editorial Board
I start to serve as an associate editor on the editorial board of IEEE Transactions on Knowledge and Data Engineering (TKDE).
Three Papers Accepted by IEEE TMC, TDSC, and ACM TOPS
Our paper “TED+Utility-Aware Time Series Data Release with Anomalies under TLDP” has been accepted by IEEE Transactions on Mobile Computing (TMC). Our paper “A Utility-aware Anonymization Model for Multiple Sensitive Attributes Based on Association Concealment” has been accepted by IEEE Transactions on Dependable and Secure Computing (TDSC). Our paper “DeepMark: A Scalable and Robust Framework…
Four Papers Accepted by IEEE TKDE, T-ITS, ACM TOSN, and Computers&Security
Our paper “TED+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database” has been accepted by IEEE TKDE. Our paper “Secure Traffic Monitoring with Spatio-temporal Metadata Protection Using Oblivious RAM” has been accepted by IEEE Transactions on Intelligent Transportation Systems. Our paper “Collecting Multi-type and Correlation-Constrained Streaming Sensor Data with Local Differential Privacy” has been…
(New!) Multiple PhD students, research assistants, and postdocs wanted
I have openings for 3+ PhD students (2024 in-take), and 4+ research assistants/postdoc researchers (immediately available) in the field of machine learning, data security and privacy, and blockchain (new!). The detailed requirements of PhD applicants are as follows: Bachelor or Master degree in Computer Science, Software Engineering or Information Engineering in well-known universities. Preferences are…
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).
Two Papers Accepted by IEEE TIFS and TKDE
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.