Proper network interpretability helps adversarial robustness in classification
- Akhilan Boopathy
- Sijia Liu
- et al.
- 2020
- ICML 2020
Publications
Date
Featured collections
Popular topics
75 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
Towards verifying robustness of neural networks against a family of semantic perturbations
- Jeet Mohapatra
- Tsui Wei Weng
- et al.
- 2020
- CVPR 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
- Tianlong Chen
- Sijia Liu
- et al.
- 2020
- CVPR 2020
Towards an efficient and general framework of robust training for graph neural networks
- Kaidi Xu
- Sijia Liu
- et al.
- 2020
- ICASSP 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
- Minhao Cheng
- Simranjit Singh
- et al.
- 2020
- ICLR 2020
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent
- Shuai Zhang
- Meng Wang
- et al.
- 2020
- CISS 2020
An ADMM based framework for AutoML pipeline configuration
- Sijia Liu
- Parikshit Ram
- et al.
- 2020
- AAAI 2020
Towards certificated model robustness against weight perturbations
- Tsui Wei Weng
- Pu Zhao
- et al.
- 2020
- AAAI 2020
Privacy-Preserving Energy Scheduling for Smart Grid with Renewables
- Kai Yang
- Libin Jiang
- et al.
- 2020
- IEEE Access