Prof. Hu has been awarded an ITF grant with project title “MyGPTShield: A Personalized Privacy-Preserving Prompt Service for Large Generative AI Models”. The total amount is HK$2,000,010.
Prof. Hu has been awarded an RGC/GRF grant with project title “Right To Be Forgotten Made Easy: Machine Unlearning, Differential Privacy and Beyond”. The total amount is HK$1,038,967. Dr. Ye has been awarded an RGC/ECS grant with project title “Harnessing Sensitive Statistics from the Crowd: Towards Scalable Private Federated Analytics”. The total amount is HK$992,994.
Thanks to the outstanding rating of her research grant proposal in the Early Career Scheme, Dr. Ye Qingqing has received the Early Career Award from UGC this year. Every year, there are only 7-8 awardees in all 8 public universities in Hong Kong.
Our paper “PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy” has been accepted by International Conference on Very Large Databases (VLDB 2024).
The following papers from ASTAPLE current and former members are accepted by IEEE International Conference on Data Engineering (ICDE ’24), Utrecht, Netherlands, May 2024 as full research papers. Congratulations to all authors!
Our papers “LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-dimensional Space”, “LDPGuard: Defenses against Data Poisoning Attacks to Local Differential Privacy Protocols”, and “EPS: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model” have been accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
Our paper “DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release” has been accepted by PVLDB 2024. Our papers “LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy” and “FRESH: Towards Efficient Graph Queries in an Outsourced Graph” have been accepted by IEEE International Conference on Data Engineering (ICDE ’24), Utrecht, Netherlands, May 2024.
Prof. Hu start to serve as an associate editor on the editorial board of IEEE Transactions on Knowledge and Data Engineering (TKDE) and IEEE Transactions on Information Forensics and Security (TIFS).
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 for DeepFake Video Detection” has been accepted by ACM Transactions […]
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 accepted by ACM Transactions on Sensor Networks (TOSN).