Publications

98 results for Fairness, Accountability, Transparency

Verifying individual fairness in machine learning models
- - Philips George John
  - Deepak Vijaykeerthy
  - et al.
- 2020
- UAI 2020
Two simple ways to learn individual fairness metrics from data
- - Debarghya Mukherjee
  - Mikhail Yurochkin
  - et al.
- 2020
- ICML 2020
Chi-square Information for Invariant Learning
- - Prasanna Sattigeri
  - Soumya Ghosh
  - et al.
- 2020
- ICML 2020
Training individually fair ML models with sensitive subspace robustness
- - Mikhail Yurochkin
  - Amanda Bower
  - et al.
- 2020
- ICLR 2020
Data augmentation for discrimination prevention and bias disambiguation
- - Shubham Sharma
  - Yunfeng Zhang
  - et al.
- 2020
- AIES 2020
Fair enough: Improving fairness in budget-constrained decision making using confidence thresholds
- - Michiel A. Bakker
  - Humberto Riverón Valdés
  - et al.
- 2020
- SafeAI 2020
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning
- - Lingjuan Lyu
  - Yitong Li
  - et al.
- 2020
- IEEE TDSC
ZEUS: Analyzing Safety of Smart Contracts
- - Sukrit Kalra
  - Seep Goel
  - et al.
- 2018
- NDSS 2018