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!
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!
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).