Publications

785 results for Trustworthy AI

Two simple ways to learn individual fairness metrics from data
- - Debarghya Mukherjee
  - Mikhail Yurochkin
  - et al.
- 2020
- ICML 2020
Proper network interpretability helps adversarial robustness in classification
- - Akhilan Boopathy
  - Sijia Liu
  - et al.
- 2020
- ICML 2020
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
New oracle-efficient algorithms for private synthetic data release
- - Giuseppe Vietri
  - Grace Tian
  - et al.
- 2020
- ICML 2020
Leveraging Simple Model Predictions for Enhancing its Performance
- - Amit Dhurandhar
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- - Michael Hind
  - Dennis Wei
  - et al.
- 2020
- ICML 2020
Do You Sign Your Model?
- - Omid Aramoon
  - Pin-Yu Chen
  - et al.
- 2020
- ICML 2020
Chi-square Information for Invariant Learning
- - Prasanna Sattigeri
  - Soumya Ghosh
  - et al.
- 2020
- ICML 2020
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- - Richard Tomsett
  - Alun Preece
  - et al.
- 2020
- Patterns
Towards verifying robustness of neural networks against a family of semantic perturbations
- - Jeet Mohapatra
  - Tsui Wei Weng
  - et al.
- 2020
- CVPR 2020