Our papers “Sample-Grained Approximate Unlearning with Provable Per-Sample Bounds”, “Machine Unlearning in Low-Dimensional Feature Subspace”, and “DIBench: Benchmarking Decision Integrity of GUI-based Mobile Agents Under Deceptive Injections” are accepted by NeurIPS 2026. Congratulations to Yaxin, Kun, and Li!
Our papers “LG-DCD: Evolution-Aware Local Differential Privacy for Dynamic Community Detection over Graphs”, “Feature Attribution in Directed Acyclic Graphs Using Edge Intervention”, “DaDaDa: A Dataset for Data Pricing in Data Marketplaces” and “Parallel Oblivious Acyclic Joins for TEE-based Encrypted Databases” are accepted by IEEE International Conference on Data Engineering (ICDE), 2027. Congratulations to Xinyue, Qiheng, and Sen!
Our papers “MobileProbe: Adaptive Security Evaluation of Mobile Agents via Trajectory-Aware Injection”, “MAppPrint: Robust and Real-time Mobile App Fingerprinting via Traffic Behavior Causal Graphs”, and “Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection” are accepted by Network and Distributed System Security (NDSS) Symposium 2027. Congratulations to Yingbin, Tao, and Zi!
Prof. Hu has been appointed as Senior Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE).
Prof. Hu and Prof. Ye have been appointed as area chairs of the Forty-First AAAI Conference on Artificial Intelligence (AAAI-27).
Our paper “PrivFDM: Differentially Private Federated Diffusion Models for Image Synthesis” is accepted by ACM MM 2026. Congratulations to Wenbo!
Prof. Hu has been awarded an RGC/GRF grant with project title “Privacy Agent for Agentic AI: Contextual Integrity, Differential Privacy and Beyond”. The total amount is HK$1,054,064. Prof. Ye has been awarded an RGC/GRF grant with project title “Unlocking Relations in Noise: Relational Knowledge Mining with Local Differential Privacy”. The total amount is HK$975,916.
Our papers “Differentially Private Cross-Silo Recommendation from Implicit Feedback”, “Unlearning Isn’t Deletion: Investigating Reversibility of Machine Unlearning in LLMs”, and “On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression”, are accepted by International Conference on Machine Learning (ICML 2026). Congratulations to Xun, Xiaoyu and Xinwei! Our paper “LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models” is accepted by IJCAI’2026. Congratulations […]
Our paper “Hitchhiking on Inherent Randomness: Diffusion-based Graph Generation under Differential Privacy” is accepted by ACM CCS 2026. Congratulations to Renxuan!
Our papers “From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning” and “AudioStealer: Extracting Audio Prompts via Shapley Value-Guided Query Search” are accepted by Findings of the Association for Computational Linguistics (ACL). Congratulations to Xiaoyu and Yingbin!