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Jiaming He Hi! I'm Jiaming HE (Chinese name: 何嘉铭). I'm currently an undergraduate student majoring in software engineering at Chengdu University of Technology. I am also an incoming Ph.D student at University of Electronic Science and Technology of China (UESTC), advised by Prof. Hongwei Li. Email / CV / Google Scholar / Twitter / Github |
Taken in Kiyomizu-dera, Kyoto, Japan |
ResearchMy research interest lies in Trustworthy AI. I focus on building robust and reliable methods to implement deep learning system in physical world. Long term goal: Building Trustworthy AGI. |
MiscI am a loyal fan of League of Legends🎮️, and Football. I support the best football team in London - Chelsea. Let's keep blue flag flying high!💙 Do not hesitate to contact me if you are interested in collaboration or communication (any topics: Research, Football, Game, Hold'em, etc.). I'm eager to learn from you, and let's make something great! |
News
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Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models.
Jiaming He, Wenbo Jiang, Guanyu Hou, Wenshu Fan, Rui Zhang, Hongwei Li AAAI Conference on Artificial Intelligence (AAAI) (CCF-A) (Oral Presentation), 2025 Investigate the conditional backdoor attack against LLMs by exploiting generation conditions during inference. |
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Weaponizing Tokens: Backdooring Text-to-Image Generation via Token Remapping.
Jiaming He, Wenbo Jiang, Guanyu Hou, Qiyang Song, Ji Guo, Hongwei Li, IEEE International Conference on Multimedia & Expo (ICME) (CCF-B) (Oral Presentation), 2025 Investigate a trainin-free backdoor attack on Text-to-image generation. |
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PRESS: Defending Privacy in Retrieval-augmented Generation via Embedding Space Shifting.
Jiaming He*, Cheng Liu*, Guanyu Hou*, Wenbo Jiang, Jiacheng Li IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (CCF-B), 2025 Applying purposive embedding space shifting for defending privacy in RAG-based LLMs. |
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MTISA: Multi-Target Image-Scaling Attack.
Jiaming He, Hongwei Li, Wenbo Jiang, Yuan Zhang IEEE International Conference on Communications (ICC) (CCF-C) (Oral Presentation), 2024 Introduce multiple targets in image-scaling attacks. |
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Data Stealing Attacks against Large Language Models via Backdooring
Jiaming He, Guanyu Hou, Xinyue Jia, Yangyang Chen, Wenqi Liao, Yinhang Zhou, Rang Zhou Electronics (JCR-Q2) , 2024 Propose a data stealing attacks against LLMs via backdoor injection |
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When Hallucinated Concepts Cross Modals: Unveiling Backdoor Vulnerability in Multi-modal In-context Learning
Jiaming He, Yitong Qiao, Guanyu Hou, Zihan Wang, Qiyang Song, Wenbo Jiang, Hongwei Li, In Submmition, 2025 Investigate the Backdoor Threats from Multi-modal In-context Learning. |
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Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study
Guanyu Hou, Jiaming He (Corrsponding Author), Yinhang Zhou, Yitong Qiao, Ji Guo, Rui Zhang, Wenbo Jiang, In Submmition, 2025 Investigate the Backdoor Threats from Multi-modal In-context Learning. |
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Combinational Backdoor Attack against Customized Text-to-Image Models
Wenbo Jiang, Jiaming He, Hongwei Li, Guowen Xu, Rui Zhang, Hanxiao Chen, Meng Hao, Haomiao Yang, arXiv , 2024 (In Submmition) Explore combinational backdoor attack on customized Text-to-image generative models. |
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Backdoor Attacks against Image-to-Image Networks
Wenbo Jiang, Hongwei Li, Jiaming He, Rui Zhang, Guowen Xu, Tianwei Zhang, Rongxing Lu arXiv , 2023 (In Submmition) Backdoor Attacks against Image-to-Image Networks |
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