Projects

Publications

2025

  • Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
    Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu
    In Proceeding of Winter Conference on Applications of Computer Vision (WACV 2025), Tucson, Arizona, USA, Feb. 2025
    Bibtex | arXiv
  • @inproceedings{ can-adversarial-examples-be-parsed-to-reveal-victim-model-information,
      author = { Yuguang Yao and Jiancheng Liu and Yifan Gong and Xiaoming Liu and Yanzhi Wang and Xue Lin and Sijia Liu },
      title = { Can Adversarial Examples Be Parsed to Reveal Victim Model Information? },
      booktitle = { In Proceeding of Winter Conference on Applications of Computer Vision },
      address = { Tucson, Arizona, USA },
      month = { February },
      year = { 2025 },
    }

2024

  • Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks
    Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu
    Foundations and Trends in Privacy and Security, , Jan. 2024
    Bibtex | PDF
  • @article{ reverse-engineering-of-deceptions-on-machine-and-human-centric-attacks,
      author = { Yuguang Yao and Xiao Guo and Vishal Asnani and Yifan Gong and Jiancheng Liu and Xue Lin and Xiaoming Liu and Sijia Liu },
      title = { Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks },
      journal = { Foundations and Trends in Privacy and Security },
      month = { January },
      year = { 2024 },
    }
  • UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
    Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Rao Kompella, Xiaoming Liu, Sijia Liu
    Proceeding of Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024
    Bibtex
  • @inproceedings{ unlearncanvas-a-stylized-image-dataset-to-benchmark-machine-unlearning-for-diffusion-models,
      author = { Yihua Zhang and Chongyu Fan and Yimeng Zhang and Yuguang Yao and Jinghan Jia and Jiancheng Liu and Gaoyuan Zhang and Gaowen Liu and Ramana Rao Kompella and Xiaoming Liu and Sijia Liu },
      title = { UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models },
      booktitle = { Proceeding of Thirty-eighth Conference on Neural Information Processing Systems },
      address = { Vancouver, Canada },
      month = { December },
      year = { 2024 },
    }

2022

  • Reverse Engineering of Imperceptible Adversarial Image Perturbations
    Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu
    In Proceeding of The International Conference on Learning Representations (ICLR 2022), Virtual, Apr. 2022
    Bibtex | PDF
  • @inproceedings{ reverse-engineering-of-imperceptible-adversarial-image-perturbations,
      author = { Yifan Gong and Yuguang Yao and Yize Li and Yimeng Zhang and Xiaoming Liu and Xue Lin and Sijia Liu },
      title = { Reverse Engineering of Imperceptible Adversarial Image Perturbations },
      booktitle = { In Proceeding of The International Conference on Learning Representations },
      address = { Virtual },
      month = { April },
      year = { 2022 },
    }