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Jianshuo Dong (董建硕)
I am a second-year Ph.D. student of INSC at Tsinghua University since 09/2023.
I focus on machine learning security, trustworthy AI systems, and explainable AI.
My advisor is Prof. Han Qiu.
Contact: dongjs23@mails.tsinghua.edu.cn
Office: Room 205, FIT Building, Tsinghua University, Beijing, China
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08/23/2025 |
One paper got accepted to EMNLP 2025 main (oral)!
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08/10/2025 |
I created a new website for my research!
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Publications
Conference Papers
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[EMNLP'25]
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“I’ve Decided to Leak”: Probing Internals Behind Prompt Leakage Intents
Jianshuo Dong, Yutong Zhang, Yan Liu, Zhenyu Zhong, Tao Wei, Ke Xu, Minlie Huang, Chao Zhang, Han Qiu
PDF /
Code /
Oral
TL;DR: Diving into the internals to understand LLMs' prompt leakage intents.
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[ICLR'25]
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An Engorgio Prompt Makes Large Language Model Babble on
Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu, Han Qiu
PDF /
Code /
Poster
TL;DR: An inference cost attack targeting modern auto-regressive LLMs.
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[ICCV'24]
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One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia
PDF /
Code /
Poster
TL;DR: Insert unactivated backdoor in the model training process and make it activated by bit-flip attack.
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[arXiv 2506.21571]
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Towards Understanding the Cognitive Habits of Large Reasoning Models
Jianshuo Dong, Yujia Fu, Chuanrui Hu, Chao Zhang, Han Qiu
arXiv /
Code
TL;DR: Does reasoning models have human-like cognitive habits?
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[arXiv 2507.04214]
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Can Large Language Models Automate the Refinement of Cellular Network Specifications?
Jianshuo Dong, Tianyi Zhang, Feng Yan, Yuanjie Li, Hewu Li, Han Qiu
arXiv
TL;DR: Evaluate and improve the performance of LLMs in automatically refining cellular network specifications concerning security/trustworthiness issues.
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2019-2023 |
Wuhan University, Wuhan, China
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2023-2028 (expected) |
Tsinghua University, Beijing, China
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2025 Spring |
Trustworthy Machine Learning, Tsinghua University, Teaching Assistant
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[NeurIPS'25]
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Reviewer
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[ICLR'24]
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Notable Reviewer
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