FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks-Reference-Cited by-同舟云学术

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FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:Equity and Access in Algorithms, Mechanisms, and Optimization
language:
Short-container-title:

Author:

Mohammadi Kiarash¹^ORCID,Sivaraman Aishwarya²^ORCID,Farnadi Golnoosh³^ORCID

Affiliation:

1. Mila, Université de Montréal, Canada

2. University of California, Los Angeles, USA

3. Mila, Université de Montréal, HEC Montréal, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617694.3623243

Reference70 articles.

1. Aniya Agarwal , Pranay Lohia , Seema Nagar , Kuntal Dey , and Diptikalyan Saha . 2018. Automated test generation to detect individual discrimination in AI models. arXiv preprint arXiv:1809.03260 ( 2018 ). Aniya Agarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, and Diptikalyan Saha. 2018. Automated test generation to detect individual discrimination in AI models. arXiv preprint arXiv:1809.03260 (2018).

2. FairSquare: probabilistic verification of program fairness

3. Probabilistic verification of fairness properties via concentration

4. BBC. 2018. Gender pay gap: Men still earn more than women at most firms. https://www.bbc.com/news/business-43129339 BBC. 2018. Gender pay gap: Men still earn more than women at most firms. https://www.bbc.com/news/business-43129339

5. BBC. 2019. Apple’s ’sexist ’ credit card investigated by US regulator. https://www.bbc.com/news/business-50365609 BBC. 2019. Apple’s ’sexist’ credit card investigated by US regulator. https://www.bbc.com/news/business-50365609

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