Fair Machine Unlearning: Data Removal while Mitigating Disparities

By: Himabindu Lakkaraju, Flavio Calmon, Jiaqi Ma and Alex Oesterling

Citation

Lakkaraju, Himabindu, Flavio Calmon, Jiaqi Ma, and Alex Oesterling. "Fair Machine Unlearning: Data Removal while Mitigating Disparities." 2024.

Technology and Operations Management

- 2024
- Faculty Research
Quantifying Uncertainty in Natural Language Explanations of Large Language Models

By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
- 2023
- Advances in Neural Information Processing Systems (NeurIPS)
Post Hoc Explanations of Language Models Can Improve Language Models

By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
- 2023
- Advances in Neural Information Processing Systems (NeurIPS)
Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability

By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju