FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
- 2023
- NeurIPS 2023
Publications
Date
Featured collections
Popular topics
85 results for Fairness, Accountability, Transparency
Cost-Aware Counterfactuals for Black Box Explanations
- Natalia Martinez Gil
- Kanthi Sarpatwar
- et al.
- 2023
- NeurIPS 2023
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- Soumya Ghosh
- Prasanna Sattigeri
- et al.
- 2023
- NeurIPS 2023
Weakly Supervised Detection of Hallucinations in LLM Activations
- 2023
- NeurIPS 2023
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset
- Anna Richter
- Brooklyn Sheppard
- et al.
- 2023
- NeurIPS 2023
Beyond Black Box AI-Generated Plagiarism Detection: From Sentence to Document Level
- Mujahid Ali Quidwai
- Chunhui Li
- et al.
- 2023
- ACL 2023
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models
- Nathalie Baracaldo Angel
- Farhan Ahmed
- et al.
- 2023
- S&P 2023
Connecting Underrepresented Minorities and Qualified Job Positions Using Online Data
- Maysa Malfiza Garcia de Macedo
- Marisa Affonso Vasconcelos
- et al.
- 2021
- AAAI 2021
Learning to Design Fair and Private Voting Rules
- Farhad Mohsin
- Ao Liu
- et al.
- 2020
- NeurIPS 2020
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models
- Ioana Baldini Soares
- Chhavi Yadav
- et al.
- 2023
- ACL 2023