| 2025 | AAAI | UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models. | Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti |
| 2025 | CIKM | Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. | Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li |
| 2025 | EMNLP | No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. | Mengxuan Hu, Hongyi Wu, Ronghang Zhu, Zihan Guan, Dongliang Guo, Daiqing Qi, Sheng Li |
| 2025 | ICDM | PharmaData-Agent: A Specialized Agent for Pharmaceutical Data Analysis. | Zihan Guan, Hanyin Wang, Zhongliang Zhou, Qiaohui Zhou, Peining Tao, Junshui Ma |
| 2025 | ICLR | Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. | Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar S. Vullikanti, Sheng Li |
| 2025 | ICML | Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. | Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti |
| 2025 | ICML | BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. | Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li |
| 2024 | AAAI | BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). | Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu |
| 2024 | SIGIR | Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. | Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai |
| 2023 | CIKM | Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. | Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu |
| 2023 | ECAI | XGBD: Explanation-Guided Graph Backdoor Detection. | Zihan Guan, Mengnan Du, Ninghao Liu |