Projects
Publications
2025
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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
2024
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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 -
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
2022
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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