| 2026 | WWW | SentinelNet: Safeguarding Multi-Agent Collaboration Through Credit-Based Dynamic Threat Detection. | Yang Feng, Xudong Pan |
| 2025 | WWW | You Can't Eat Your Cake and Have It Too: The Performance Degradation of LLMs with Jailbreak Defense. | Wuyuao Mai, Geng Hong, Pei Chen, Xudong Pan, Baojun Liu, Yuan Zhang, Haixin Duan, Min Yang |
| 2024 | CCS | Neural Dehydration: Effective Erasure of Black-box Watermarks from DNNs with Limited Data. | Yifan Lu, Wenxuan Li, Mi Zhang, Xudong Pan, Min Yang |
| 2024 | SP | BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting. | Huming Qiu, Junjie Sun, Mi Zhang, Xudong Pan, Min Yang |
| 2023 | ACL | SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT. | Shengyao Zhang, Xudong Pan, Mi Zhang, Min Yang |
| 2023 | ICASSP | RROS: Building a Responsive Online Recommender System via Meta-Gradients Updating. | Xudong Pan, Mi Zhang, Duocai Wu |
| 2023 | KDD | Cracking White-box DNN Watermarks via Invariant Neuron Transforms. | Xudong Pan, Mi Zhang, Yifan Yan, Yining Wang, Min Yang |
| 2023 | WWW | Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. | Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang |
| 2023 | WWW | MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. | Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng |
| 2022 | ICDE | Towards Backdoor Attack on Deep Learning based Time Series Classification. | Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang |
| 2022 | KDD | MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting. | Xudong Pan, Yifan Yan, Mi Zhang, Min Yang |
| 2021 | ACSAC | Understanding the Threats of Trojaned Quantized Neural Network in Model Supply Chains. | Xudong Pan, Mi Zhang, Yifan Yan, Min Yang |
| 2021 | CIKM | A Deep Learning Framework for Self-evolving Hierarchical Community Detection. | Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He |
| 2021 | ESORICS | TAFA: A Task-Agnostic Fingerprinting Algorithm for Neural Networks. | Xudong Pan, Mi Zhang, Yifan Lu, Min Yang |
| 2020 | AAAI | Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. | Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He |
| 2020 | ICDM | Modeling Personalized Out-of-Town Distances in Location Recommendation. | Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He |
| 2020 | SP | Privacy Risks of General-Purpose Language Models. | Xudong Pan, Mi Zhang, Shouling Ji, Min Yang |
| 2019 | KDD | Modeling Extreme Events in Time Series Prediction. | Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He |
| 2018 | ICML | Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. | Xudong Pan, Mi Zhang, Daizong Ding |
| 2018 | WWW | Geographical Feature Extraction for Entities in Location-based Social Networks. | Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu |