Year: 2025

Our paper “BeeKeeper: Securing Cross-Technology Communication via Channel-Aware Dual-Binding” is accepted by INFOCOM 2026. Congratulations to Weizheng!

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!

Our paper “WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching” is accepted by NDSS 2026. Congratulations to Ronghua!

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!

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….

Our papers “‘Virus Infection Attack on LLMs: Your Poisoning Can Spread “VIA” Synthetic Data” and “Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts” are accepted by Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. Congratulations to Zi and Li!

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 Lixu!