Zhanhao Hu 胡展豪

Postdoc at UC Berkeley

Contact:
zhanhaohu[DOT]cs[AT]gmail[DOT]com
Google Scholar Github

Affiliation:
Department of Electrical Engineering and Computer Sciences (EECS),
Institute for Data Science (BIDS),
UC Berkeley, California, 94720

I am a postdoc in the Department of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley, advised by Prof. David Wagner. I received my Ph.D. in Computer Science and Technology from Tsinghua University in 2023, advised by Prof. Bo Zhang and Prof. Xiaolin Hu. I was also honored to work with Prof. Jun Zhu and Prof. Jianming Li. I received my Bachelor’s degree in Mathematics and Physics from Tsinghua University in 2017. My current research interest primarily includes adversarial examples and privacy in deep learning, especially in Computer Vision (CV) and Large Language Models (LLMs). My goal is to contribute to the development of reliable and trustworthy AI systems by identifying and tackling anomalous behavior in deep learning models.

Special thanks to Kexin for taking the profile picture.

Highlights

Arxiv

Toxicity Detection for Free

Zhanhao Hu, Julien Piet, Geng Zhao, Jiantao Jiao, and David Wagner

arXiv preprint arXiv:2405.18822, 2024

Bib arXiv Code

@article{hu2024toxicity,
  title = {Toxicity Detection for Free},
  author = {Hu, Zhanhao and Piet, Julien and Zhao, Geng and Jiao, Jiantao and Wagner, David},
  journal = {arXiv preprint arXiv:2405.18822},
  year = {2024},
}

CVPR

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling

Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, and Xiaolin Hu

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Bib arXiv Code Video

@inproceedings{hu2023physically,
  title = {Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling},
  author = {Hu, Zhanhao and Chu, Wenda and Zhu, Xiaopei and Zhang, Hui and Zhang, Bo and Hu, Xiaolin},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
}

CVPR

Oral

Adversarial Texture for Fooling Person Detectors in the Physical World

Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, and Xiaolin Hu

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Bib arXiv Code Video

@inproceedings{hu2022adversarial,
  emph = {Oral},
  title = {Adversarial Texture for Fooling Person Detectors in the Physical World},
  author = {Hu, Zhanhao and Huang, Siyuan and Zhu, Xiaopei and Sun, Fuchun and Zhang, Bo and Hu, Xiaolin},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {13307--13316},
  year = {2022},
}

CVPR

Oral

Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World

Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, and Xiaolin Hu

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Bib arXiv Video_1 Video_2

@inproceedings{zhu2022infrared,
  emph = {Oral},
  title = {Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World},
  author = {Zhu, Xiaopei and Hu, Zhanhao and Huang, Siyuan and Li, Jianmin and Hu, Xiaolin},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {13317--13326},
  year = {2022},
}