Author: haibo

Prof. Hu has been awarded an RGC/GRF grant with project title “Privacy-Preserving Multimodal Data Management: A Database Perspective”. The total amount is HK$854,554. Prof. Ye has been awarded an RGC/GRF grant with project title “From Randomized Response to Randomized Index: Value-invariant Mechanisms for Local Differential Privacy”. The total amount is HK$887,188.

Our papers “‘Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy” and “Federated Continuous Category Discovery and Learning” are accepted by International Conference on Computer Vision (ICCV), 2025. Congratulations to Yaxin and Lixiu!

Our paper “PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs” is accepted by VLDB 2025.

Our paper “‘Yes, My LoRD.’ Guiding Language Model Extraction with Locality Reinforced Distillation” is accepted by the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) Main Conference. Congratulations to Zi!

Our paper “Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?” is accepted by 42nd International Conference on Machine Learning (ICML ’25). Congratulations to Zi!

In addition to the previous news that two papers were accepted by ICDE 2025 in round 1, five more papers below are accepted in round 2. Congratulations to Jiawei, Renxuan, Rong, Yulian, and Sen!

Our paper “Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy” is accepted by IEEE Symposium on Security and Privacy (S&P), 2025. Congratulations to Qingqing!

Our paper “PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy” is accepted by ACM International Conference of Management of Data (SIGMOD), 2025. Congratulations to Liantong! Our paper “Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services” is accepted by Proceedings of the VLDB Endowment (PVLDB), 2025. Congratulations to Rong!

Our papers “MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective” and “FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning” are accepted by ACM TheWebConf 2025 (WWW 2025). Congratulations to Xinwei and Zitong!

Our papers “A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks” and “Exploring Intrinsic Alignments within Text Corpus” are accepted by Annual AAAI Conference on Artificial Intelligence (AAAI 2025). Congratulations to Haoyang and Zi!