Publications

225 results for Adversarial Robustness and Privacy

Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
- - Yun Yun Tsai
  - Pin-Yu Chen
  - et al.
- 2020
- ICML 2020
Do You Sign Your Model?
- - Omid Aramoon
  - Pin-Yu Chen
  - et al.
- 2020
- ICML 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
- - Tianlong Chen
  - Sijia Liu
  - et al.
- 2020
- CVPR 2020
Non-Adversarial Video Synthesis with Learned Priors
- - Abhishek Aich
  - Akash Gupta
  - et al.
- 2020
- CVPR 2020
Towards verifying robustness of neural networks against a family of semantic perturbations
- - Jeet Mohapatra
  - Tsui Wei Weng
  - et al.
- 2020
- CVPR 2020
Improving the affordability of robustness training for DNNs
- - Sidharth Gupta
  - Parijat Dube
  - et al.
- 2020
- CVPRW 2020
Noise is inside me! generating adversarial perturbations with noise derived from natural filters
- - Akshay Agarwal
  - Mayank Vatsa
  - et al.
- 2020
- CVPRW 2020
DNDNet: Reconfiguring CNN for adversarial robustness
- - Akhil Goel
  - Akshay Agarwal
  - et al.
- 2020
- CVPRW 2020
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning
- - Chao-Han Huck Yang
  - Jun Qi
  - et al.
- 2020
- ICASSP 2020
Towards an efficient and general framework of robust training for graph neural networks
- - Kaidi Xu
  - Sijia Liu
  - et al.
- 2020
- ICASSP 2020