About Me

• I am a third-year Ph.D. candidate at Shanghai Jiao Tong University, supervised by Prof. Gongshen Liu and Prof. Zhuosheng Zhang . I am also supervised by Prof. Bingsheng He in National University of Singapore (NUS) and collaborate with Dr. Zhaomin Wu .
• I got my bachelor's degree from School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University in 2021, supervised by Prof. Gongshen Liu.
• My general research interest lies in Federated Learning, AI Security(Backdoor attack, Watermark, Privacy) and LLM(Agent).
• I host two joint projects with Ant Group from 2022/10 to 2025/4.
• Prospective collaborators: If you're a Ph.D/master/bachelor student and interested in working with me, feel free to send me an email. 欢迎对我的研究感兴趣的同学邮件/微信联系我合作，尤其欢迎计划选择刘功申/张倬胜教授作为导师的本科生/硕士生。

Educations

• 2024 - now, visiting Ph.D. Student, School of Computing (SoC), National University of Singapore
• 2021 - now, Ph.D. Student, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University
• 2017 - 2021, Bachelor, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University

Affiliation

• Xtra Computing Group
National University of Singapore
• AI Security Lab (Unicorn)
Shanghai Jiao Tong University

Intership

• 2024.6 - now, Tencent Rhino Bird Elite Talent Plan(腾讯犀牛鸟精英人才计划). Research Intern (WXG, Federated Learning)

Honors and Awards

• The Class of 85 Computer Science Education Development Fund and Yang Yuanqing Education Fund Outstanding Undergraduate Excellence Scholarship. 2021
• Outstanding Graduate of Shanghai. 2021
• Rongchang Leadership Scholarship. 2021,2022,2023
• Outstanding Teaching Assistant of Shanghai Jiaotong University

Tutorials and Contributions

• Organizing and participating: 《大模型开发全流程》Course Series Course Link
• Participating: Dive into LLMs《动手学大模型》Course Series dive-into-llms
• Contributors: SecretFlowsecretflow Community Link

Selected Publications

Thanks to all collaborators.

• Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
  Zhaomin Wu, Zhen Qin, Junyi Hou, Haodong Zhao, Qinbin Li, Bingsheng He, Lixin Fan
  Under Review

• Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities
  Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao , Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, Gongshen Liu
  Under Review

• Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
  Tianjie Ju, Yi Hua, Hao Fei, Zhenyu Shao, Yubin Zheng, Haodong Zhao, Mong-Li Lee, Wynne Hsu, Zhuosheng Zhang, Gongshen Liu
  Under Review

• NSmark: Null Space Based Black-box Watermarking Defense Framework for Language Models
  Haodong Zhao, Jinming Hu, Peixuan Li, Fangqi Li, Jinrui Sha, Tianjie Ju, Peixuan Chen, Zhuosheng Zhang, Gongshen Liu
  [code]
  ICLR 1st GenAI Watermarking Workshop, 2025

• Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review
  Pengzhou Cheng, Zongru Wu, Wei Du, Haodong Zhao, Wei Lu, Gongshen Liu
  TNNLS, 2025

• Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
  Fangqi Li, Haodong Zhao , Wei Du, Shilin Wang
  AAAI, 2024

• UOR: Universal Backdoor Attacks on Pre-trained Language Models
  Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren, Gongshen Liu
  ACL findings, 2024

• NWS: NATURAL TEXTUAL BACKDOOR ATTACKS VIA WORD SUBSTITUTION
  Wei Du, Tongxin Yuan, Haodong Zhao, Gongshen Liu
  ICASSP, 2024

• FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
  Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu
  ICASSP, 2023

• PLMmark: A Secure and Robust Black-box Watermarking Framework for Pre-trained Language Models
  Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu
  AAAI, 2023

• Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts
  Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao , Gongshen Liu
  ACL findings, 2023

• A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network
  Haodong Zhao, Wei Du, Junjie Guo, Gongshen Liu
  Interspeech, 2022

Talks

• 2023/09: Talk "Privacy computing in the era of large models" at Inclusion 2023. [slides]

Academic Service

• Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems(TNNLS), Transactions on Knowledge Discovery from Data (TKDD)
• Conference Reviewer: ICLR, ICML, NIPS, AAAI, ARR, KDD, IJCAI, ICME, EMNLP, AISTATS, IJCNN
• Teaching Assistant for "Introduction to AI", Fall 2023; "Operating System" , Fall 2022, Spring 2023, Spring 2024; "Principles of Computer Viruses" , Spring 2022; "Computer Programming Practice" , Summer 2022, Summer 2023.

Community Services

• Chair of CCF Student Chapter of Shanghai Jiaotong University.
• Committe member of NICE, an NLP Academic Exchange Platform.
• Part-time Counselor in SJTU.