Jin Hu

I am currently a PhD student (2023-) at Zhongguancun Laboratory and State Key Laboratory of Complex & Critical Software Environment (SKLCCSE), Beihang University, advised by Prof. Xianglong Liu, Prof. Ke Xu and Dr. Jiakai Wang. My current research focuses on Physical Adversarial Machine Learning and Generative Modeling, aiming to uncover the dark matter in AI systems and introduce new design paradigms for AI safety problems.

Publications

TPAMI 2025

DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time

Jin Hu, Xianglong Liu^*, Jiakai Wang, Junkai Zhang, Xianqi Yang, Haotong Qin, Yuqing Ma, and Ke Xu

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

arXiv Bib

@article{hu2024dynamicpae,
  title = {DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time},
  author = {Hu, Jin and Liu, Xianglong and Wang, Jiakai and Zhang, Junkai and Yang, Xianqi and Qin, Haotong and Ma, Yuqing and Xu, Ke},
  selected = true,
  year = {2025},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
}

NeurIPS 2025

Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction

Jin Hu, Jiakai Wang^*, Linna Jing, Haolin Li, Haodong Liu, Haotong Qin, Aishan Liu, Ke Xu, and Xianglong Liu

In Neural Information Processing Systems (NeurIPS), 2025

Bib Website

@inproceedings{Hu2025exploring,
  title = {Exploring Semantic-constrained Adversarial  Example with Instruction Uncertainty Reduction},
  author = {Hu, Jin and Wang, Jiakai and Jing, Linna and Li, Haolin and Liu, Haodong and Qin, Haotong and Liu, Aishan and Xu, Ke and Liu, Xianglong},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  selected = true,
  url = {https://nips.cc/virtual/2025/poster/116399},
}

ICASSP 2025

Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring

Yujun Zhang, Yanqu Chen, Jiakai Wang^*, Jin Hu, Renshuai Tao, and Xianglong Liu

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

Bib HTML

@inproceedings{zhang2025generating,
  title = {Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring},
  author = {Zhang, Yujun and Chen, Yanqu and Wang, Jiakai and Hu, Jin and Tao, Renshuai and Liu, Xianglong},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages = {1--5},
  year = {2025},
  organization = {IEEE},
  selected = true,
}

IJCV submitted

Adversarial Examples in the Physical World: A Survey

Jiakai Wang, Xianglong Liu^*, Jin Hu, Donghua Wang, Siyang Wu, Tingsong Jiang, Yuanfang Guo, Aishan Liu, and Jiantao Zhou

CoRR, 2023

DOI arXiv Bib

@article{wang2023AdversarialSurvey,
  title = {Adversarial Examples in the Physical World: {A} Survey},
  author = {Wang, Jiakai and Liu, Xianglong and Hu, Jin and Wang, Donghua and Wu, Siyang and Jiang, Tingsong and Guo, Yuanfang and Liu, Aishan and Zhou, Jiantao},
  journal = {CoRR},
  volume = {abs/2311.01473},
  year = {2023},
  url = {https://doi.org/10.48550/arXiv.2311.01473},
  doi = {10.48550/ARXIV.2311.01473},
  eprinttype = {arXiv},
  eprint = {2311.01473},
  timestamp = {Tue, 07 Nov 2023 18:17:14 +0100},
  biburl = {https://dblp.org/rec/journals/corr/abs-2311-01473.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  selected = true,
}