publications

2023

1. 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},
   }

   
2. arXiv

   Language-Driven Anchors for Zero-Shot Adversarial Robustness

   Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, and Xiaolin Hu

   arXiv preprint arXiv:2301.13096, 2023

   Bib arXiv

   @article{li2023anchor,
     title = {Language-Driven Anchors for Zero-Shot Adversarial Robustness},
     author = {Li, Xiao and Zhang, Wei and Liu, Yining and Hu, Zhanhao and Zhang, Bo and Hu, Xiaolin},
     journal = {arXiv preprint arXiv:2301.13096},
     year = {2023},
   }

   

3. Appli.

   Hiding from infrared detectors in real world with adversarial clothes

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

   Applied Intelligence, 2023

   Bib

   @article{zhu2023hiding,
     link = {https://link.springer.com/article/10.1007/s10489-023-05102-5},
     title = {Hiding from infrared detectors in real world with adversarial clothes},
     author = {Zhu, Xiaopei and Hu, Zhanhao and Huang, Siyuan and Li, Jianmin and Hu, Xiaolin and Wang, Zheyao},
     journal = {Applied Intelligence},
     volume = {53},
     number = {23},
     pages = {29537--29555},
     year = {2023},
     publisher = {Springer},
   }

   

4. ISCC

   Driving into Danger: Adversarial Patch Attack on End-to-End Autonomous Driving Systems Using Deep Learning

   Tong Wang, Xiaohui Kuang, Hu Li, Qianjin Du, Zhanhao Hu, Huan Deng, and Gang Zhao

   In 2023 IEEE Symposium on Computers and Communications (ISCC), 2023

   Bib

   @inproceedings{wang2023driving,
     title = {Driving into Danger: Adversarial Patch Attack on End-to-End Autonomous Driving Systems Using Deep Learning},
     author = {Wang, Tong and Kuang, Xiaohui and Li, Hu and Du, Qianjin and Hu, Zhanhao and Deng, Huan and Zhao, Gang},
     booktitle = {2023 IEEE Symposium on Computers and Communications (ISCC)},
     pages = {995--1000},
     year = {2023},
     organization = {IEEE},
   }

   

2022

1. arXiv

   On the Privacy Effect of Data Enhancement via the Lens of Memorization

   Xiao Li, Qiongxiu Li, Zhanhao Hu, and Xiaolin Hu

   arXiv preprint arXiv:2208.08270, 2022

   Bib arXiv

   @article{li2022privacy,
     title = {On the Privacy Effect of Data Enhancement via the Lens of Memorization},
     author = {Li, Xiao and Li, Qiongxiu and Hu, Zhanhao and Hu, Xiaolin},
     journal = {arXiv preprint arXiv:2208.08270},
     year = {2022},
   }

   

2. 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},
   }

   
3. 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},
   }

   
4. Neuro.

   Amplification Trojan Network: Attack Deep Neural Networks by Amplifying Their Inherent Weakness

   Zhanhao Hu, Jun Zhu, Bo Zhang, and Xiaolin Hu

   Neurocomputing, 2022

   Bib arXiv Code

   @article{hu2022amplification,
     link = {https://www.sciencedirect.com/science/article/abs/pii/S0925231222008773},
     title = {Amplification Trojan Network: Attack Deep Neural Networks by Amplifying Their Inherent Weakness},
     author = {Hu, Zhanhao and Zhu, Jun and Zhang, Bo and Hu, Xiaolin},
     journal = {Neurocomputing},
     volume = {505},
     pages = {142--153},
     year = {2022},
     publisher = {Elsevier},
   }

   

2017

1. ICONIP

   An STDP-based Supervised Learning Algorithm for Spiking Neural Networks

   Zhanhao Hu, Tao Wang, and Xiaolin Hu

   In International Conference on Neural Information Processing (ICONIP), 2017

   Bib arXiv Code

   @inproceedings{hu2017stdp,
     link = {https://link.springer.com/chapter/10.1007/978-3-319-70096-0_10},
     title = {An STDP-based Supervised Learning Algorithm for Spiking Neural Networks},
     author = {Hu, Zhanhao and Wang, Tao and Hu, Xiaolin},
     booktitle = {International Conference on Neural Information Processing (ICONIP)},
     pages = {92--100},
     year = {2017},
     organization = {Springer},
   }