| 2026 | AAAI | ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs. | Xu Zhang, Hangcheng Liu, Shangwei Guo, Shudong Zhang, Tianwei Zhang, Tao Xiang |
| 2025 | ACSAC | Controllable Spoofing Attacks on Visual SLAM in Robotic Vehicles. | Yuan Xu, Gelei Deng, Guanlin Li, Xingshuo Han, Shangwei Guo, Tianwei Zhang |
| 2025 | ICML | TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models. | Kangjie Chen, Muyang Li, Guanlin Li, Shudong Zhang, Shangwei Guo, Tianwei Zhang |
| 2025 | ICML | BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach. | Haozhao Wang, Shengyu Wang, Jiaming Li, Hao Ren, Xingshuo Han, Wenchao Xu, Shangwei Guo, Tianwei Zhang, Ruixuan Li |
| 2025 | WWW | Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability. | Hao Wang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang, Tao Xiang |
| 2024 | DSN | Protecting Confidential Virtual Machines from Hardware Performance Counter Side Channels. | Xiaoxuan Lou, Kangjie Chen, Guowen Xu, Han Qiu, Shangwei Guo, Tianwei Zhang |
| 2024 | ICLR | You Only Query Once: An Efficient Label-Only Membership Inference Attack. | Yutong Wu, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang |
| 2024 | ICS | AutoSched: An Adaptive Self-configured Framework for Scheduling Deep Learning Training Workloads. | Wei Gao, Xu Zhang, Shan Huang, Shangwei Guo, Peng Sun, Yonggang Wen, Tianwei Zhang |
| 2023 | EMNLP | Text Classification via Large Language Models. | Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang |
| 2023 | ICCV | What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks. | Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang |
| 2023 | ICLR | Extracting Robust Models with Uncertain Examples. | Guanlin Li, Guowen Xu, Shangwei Guo, Han Qiu, Jiwei Li, Tianwei Zhang |
| 2022 | ICLR | BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models. | Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, Chun Fan |
| 2022 | ICLR | NASPY: Automated Extraction of Automated Machine Learning Models. | Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang |
| 2022 | NAACL | Triggerless Backdoor Attack for NLP Tasks with Clean Labels. | Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Yi Yang, Shangwei Guo, Chun Fan |
| 2021 | AsiaCCS | DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation. | Han Qiu, Yi Zeng, Shangwei Guo, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham |
| 2021 | AsiaCCS | Stealing Deep Reinforcement Learning Models for Fun and Profit. | Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu |
| 2021 | CVPR | Privacy-Preserving Collaborative Learning With Automatic Transformation Search. | Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu |
| 2021 | IJCAI | Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models. | Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu |
| 2020 | ICDE | vCBIR: A Verifiable Search Engine for Content-Based Image Retrieval. | Shangwei Guo, Yang Ji, Ce Zhang, Cheng Xu, Jianliang Xu |
| 2019 | ICDE | ImageProof: Enabling Authentication for Large-Scale Image Retrieval. | Shangwei Guo, Jianliang Xu, Ce Zhang, Cheng Xu, Tao Xiang |