One Paper Accepted by ACM CCS 2026
Our paper “Hitchhiking on Inherent Randomness: Diffusion-based Graph Generation under Differential Privacy” is accepted by ACM CCS 2026. Congratulations to Renxuan!
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Two Papers Accepted by ACL‘26
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!
One Paper Accepted by CVPR 2026
Our paper “SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning” is accepted by CVPR 2026. Congratulations to Tairan!
Appointed as Senior Area Editor (TIFS)
I am appointed as Senior Area Editor of IEEE Transactions on Information Forensics and Security (TIFS).
Two Papers Accepted by WWW‘26
Our papers “How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency” and “Decoding Web Memorization: A Semantic Membership Inference Attack on LLMs” are accepted by The Web Conference (WWW’26). Congratulations to Weizheng and Zi!
One Paper Accepted by INFOCOM 2026
Our paper “BeeKeeper: Securing Cross-Technology Communication via Channel-Aware Dual-Binding” is accepted by INFOCOM 2026. Congratulations to Weizheng!
Two Papers Accepted by USENIX Security ‘26
Our papers “United We Defend: Collaborative Membership Inference Defenses in Federated Learning” and “The Prompt Stealing Fallacy: Rethinking Metrics, Attacks, and Defenses” are accepted by 35th USENIX Security Symposium (USENIX Sec), 2026. Congratulations to Li and Zehang!
One Paper Accepted by NDSS 2026
Our paper “WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching” is accepted by NDSS 2026. Congratulations to Ronghua!
Two Papers Accepted by KDD 2026
Our papers “‘Adversarial Signed Graph Learning with Differential Privacy” and “Communication-efficient Federated Graph Classification via Generative Diffusion Modeling” are accepted by SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Congratulations to Haobin and Xiuling!
Four Papers Accepted by AAAI ’26
Our papers “DIFT: Protecting Contrastive Learning against Data Poisoning Backdoor Attacks”, “Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks”, “How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework”, and “Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability” have been accepted by AAAI ’26….