Publications

219 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
Distributionally robust policy evaluation and learning in offline contextual bandits
- - Nian Si
  - Fan Zhang
  - et al.
- 2020
- ICML 2020
Proper network interpretability helps adversarial robustness in classification
- - Akhilan Boopathy
  - Sijia Liu
  - et al.
- 2020
- ICML 2020
Invariant Risk Minimization Games
- - Kartik Ahuja
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- - Sijia Liu
  - Songtao Lu
  - 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
Towards verifying robustness of neural networks against a family of semantic perturbations
- - Jeet Mohapatra
  - Tsui Wei Weng
  - et al.
- 2020
- CVPR 2020
Non-Adversarial Video Synthesis with Learned Priors
- - Abhishek Aich
  - Akash Gupta
  - et al.
- 2020
- CVPR 2020
Noise is inside me! generating adversarial perturbations with noise derived from natural filters
- - Akshay Agarwal
  - Mayank Vatsa
  - et al.
- 2020
- CVPRW 2020