Can Adversarial Examples be Parsed to Reveal Victim Model Information?
- Yuguang Yao
- Jiancheng Liu
- et al.
- 2025
- WACV 2025
Conference paper
Publications
10 results for Yanzhi Wang
Advancing Model Pruning via Bi-level Optimization
- Yihua Zhang
- Yuguang Yao
- et al.
- 2022
- NeurIPS 2022
Conference paperStructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs
- Tianyun Zhang
- Shaokai Ye
- et al.
- 2022
- IEEE TNNLS
PaperEmbedding compression with isotropic iterative quantization
- Siyu Liao
- Jie Chen
- et al.
- 2020
- AAAI 2020
Conference paperGeneration of low distortion adversarial attacks via convex programming
- Tianyun Zhang
- Sijia Liu
- et al.
- 2019
- ICDM 2019
Conference paperAdversarial robustness vs. model compression, or both?
- Shaokai Ye
- Kaidi Xu
- et al.
- 2019
- ICCV 2019
Conference paperProtecting neural networks with hierarchical random switching: Towards better robustness-accuracy trade-off for stochastic defenses
- Xiao Wang
- Siyue Wang
- et al.
- 2019
- IJCAI 2019
Conference paperStructured adversarial attack: Towards general implementation and better interpretability
- Kaidi Xu
- Sijia Liu
- et al.
- 2019
- ICLR 2019
Conference paperADMM attack: An enhanced adversarial attack for deep neural networks with undetectable distortions
- Pu Zhao
- Kaidi Xu
- et al.
- 2019
- ASP-DAC 2019
Conference paperAn ADMM-based universal framework for adversarial attacks on deep neural networks
- Pu Zhao
- Yanzhi Wang
- et al.
- 2018
- MM 2018
Conference paper