Main Research interest: Computer Security, Machine Learning and Cryptography.
Bio
- B.A. in French, Shanghai Jiao Tong University (SJTU), 2015-2019
- Diplôme d’Ingénieur (X2017), École polytechnique (X), 2018-2021
- M.S. in Electronics and Communication Engineering, SJTU, 2019-2022
- Ph.D. in Computer Science (advised by Prof. Haojin Zhu), SJTU, 2022 - present
Selected Publications
[NDSS’25] The Philosopher’s Stone: Trojaning Plugins of Large Language Models
Tian Dong, Minhui Xue, Guoxing Chen, Rayne Holland, Shaofeng Li, Yan Meng, Zhen Liu, Haojin Zhu.
Network and Distributed System Security Symposium, 2025. [pdf][ICCC’24] BrInstFlip: A Universal Tool for Attacking DNN-Based Power Line Fault Detection Models
Yixin Jiang, Yanbo Xu, Zhihong Liang, Wenqian Xu, Tian Dong, Ximing Zhang, Yiwei Yang, Yan Meng and Haojin Zhu.
IEEE/CIC International Conference on Communications in China, 2024. Best Paper Award[S&P’24] Learn what you want to unlearn: Unlearning inversion attacks against machine unlearning
Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue.
IEEE Symposium on Security and Privacy, 2024. [pdf][ESEC/FSE’23] Mate! Are you really aware? An explainability-guided testing framework for robustness of malware detectors
Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal.
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023. [pdf] Distinguished Paper Award[INFOCOM’23] Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing
Tian Dong, Ziyuan Zhang, Han Qiu, Tianwei Zhang, Hewu Li and Terry Wang.
IEEE International Conference on Computer Communications, 2023. [pdf][NDSS’23] $\text{RAI}^2$: Responsible Identity Audit Governing the Artificial Intelligence
Tian Dong, Shaofeng Li, Guoxing Chen, Minhui Xue, Haojin Zhu and Zhen Liu.
Network and Distributed System Security Symposium, 2023. [pdf][IEEE S&P Magazine] Backdoors Against Natural Language Processing: A Review
Shaofeng Li, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Suguo Du and Haojin Zhu.
IEEE Security & Privacy, 2022. [pdf][ICML’22] Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong, Bo Zhao, and Lingjuan Lyu.
The 39th International Conference on Machine Learning, Baltimore, Maryland, USA, 2022. [pdf] Outstanding Paper Award[ISPA’21] Towards Fast Network Intrusion Detection based on Efficiency-preserving Federated Learning
Tian Dong, Han Qiu, Jialiang Lu, Meikang Qiu, and Chun Fan.
IEEE International Symposium on Parallel and Distributed Processing with Applications, Virtual Conference, Oct. 2021. [pdf][CCS’21] Hidden Backdoors in Human-Centric Language Models
Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu and Jialiang Lu.
ACM Conference on Computer and Communications Security, Virtual Conference, Nov. 2021. [pdf] Best Paper Award (Runner-Ups)[IoT-J] Adversarial Attacks against Network Intrusion Detection in IoT Systems
Han Qiu, Tian Dong, Tianwei Zhang, Jialiang Lu, Gerard Memmi, and Meikang Qiu.
IEEE Internet of Things Journal, Dec. 2020. [pdf]
Awards & Honor
IEEE/CIC ICCC 2024 Best Paper Award, 2024
Bytedance scholarship, 2023
National Scholarship, 2023
ACM SIGSOFT Distinguished Paper Award, 2023
First-class Network Security Scholarship (“一流网安”奖学金), 2022
ICML 2022 Outstanding Paper Award, 2022
Shanghai Outstanding Graduate, 2022
ACM CCS 2021 Best Paper Award Runner-up, 2021
Service
- Conference Reviewer:
- ICML (2022-2024)
- NeurIPS (2022-2024)
- ICLR (2024)
- CVPR (2023-2024)
- ECCV (2022,2024)
- ICCV (2023)
- WWW (2024)
- Usenix Security Artifact (2024)
- ACM CCS Artifact (2024)
- Journal Reviewer:
- IEEE Transactions on Dependable and Secure Computing (TDSC)
- IEEE Transactions on Information Forensics and Security (TIFS)
- IEEE Transactions on Wireless Communications (TWC)
- Peer-to-Peer Networking and Applications (PPNA)
- IEEE Internet of Things Journal (IoT-J)
Last updated: 2024/08/12.