Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Conference paper
Publications
76 results for Sijia Liu
Fast learning of graph neural networks with guaranteed generalizability: One-hidden-layer case
- Shuai Zhang
- Meng Wang
- et al.
- 2020
- ICML 2020
Conference paperProper network interpretability helps adversarial robustness in classification
- Akhilan Boopathy
- Sijia Liu
- et al.
- 2020
- ICML 2020
Conference paperTowards verifying robustness of neural networks against a family of semantic perturbations
- Jeet Mohapatra
- Tsui Wei Weng
- et al.
- 2020
- CVPR 2020
Conference paperAdversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
- Tianlong Chen
- Sijia Liu
- et al.
- 2020
- CVPR 2020
Conference paperTowards an efficient and general framework of robust training for graph neural networks
- Kaidi Xu
- Sijia Liu
- et al.
- 2020
- ICASSP 2020
Conference paperSign-OPT: A Query-Efficient Hard-label Adversarial Attack
- Minhao Cheng
- Simranjit Singh
- et al.
- 2020
- ICLR 2020
Conference paperGuaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent
- Shuai Zhang
- Meng Wang
- et al.
- 2020
- CISS 2020
Conference paperAn ADMM based framework for AutoML pipeline configuration
- Sijia Liu
- Parikshit Ram
- et al.
- 2020
- AAAI 2020
Conference paperTowards certificated model robustness against weight perturbations
- Tsui Wei Weng
- Pu Zhao
- et al.
- 2020
- AAAI 2020
Conference paper