Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022
Publications
77 results for Sijia Liu
Zeroth-Order Optimization for Composite Problems with Functional Constraints
- Zichong Li
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
- Tianlong Chen
- Zhenyu Zhang
- et al.
- 2022
- CVPR 2022
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs
- Tianyun Zhang
- Shaokai Ye
- et al.
- 2022
- IEEE TNNLS
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
Improved Linear Convergence of Training CNNs with Generalizability Guarantees: A One-Hidden-Layer Case
- Shuai Zhang
- Meng Wang
- et al.
- 2021
- IEEE TNNLS
Generating Adversarial Computer Programs using Optimized Obfuscations
- Shashank Srikant
- Sijia Liu
- et al.
- 2021
- ICLR 2021
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
- Tianlong Chen
- Zhenyu Zhang
- et al.
- 2021
- ICLR 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
- Ren Wang
- Kaidi Xu
- et al.
- 2021
- ICLR 2021