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!
Our papers “Structure-Preference Enabled Graph Embedding Generation under Differential Privacy” and “Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs” are accepted by IEEE International Conference on Data Engineering (ICDE), 2025. Congratulations to Sen and Kai!
Our paper “PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy” is accepted by SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025). Congratulations to Sen!
On 21 Nov, Prof. Yang Xiang from Swinburne University of Technology, Australia will give a talk with title “Securing AI Systems: from Development to Deployment” in Distingsuihed Lecture Series on Research Centre for Privacy and Security Technologies in Future Smart Systems. The following link will be the recorded video of this talk.