| Fliptest: fairness testing via optimal transport E Black, S Yeom, M Fredrikson Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 65 | 2020 |
| Feature-wise bias amplification K Leino, E Black, M Fredrikson, S Sen, A Datta arXiv preprint arXiv:1812.08999, 2018 | 37 | 2018 |
| Leave-one-out unfairness E Black, M Fredrikson Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 21 | 2021 |
| Consistent counterfactuals for deep models E Black, Z Wang, M Fredrikson, A Datta arXiv preprint arXiv:2110.03109, 2021 | 14 | 2021 |
| Evaluating facial recognition technology: a protocol for performance assessment in new domains DE Ho, E Black, M Agrawala, L Fei-Fei Denv. L. Rev. 98, 753, 2020 | 10 | 2020 |
| Model multiplicity: Opportunities, concerns, and solutions E Black, M Raghavan, S Barocas 2022 ACM Conference on Fairness, Accountability, and Transparency, 850-863, 2022 | 8 | 2022 |
| Selective ensembles for consistent predictions E Black, K Leino, M Fredrikson arXiv preprint arXiv:2111.08230, 2021 | 7 | 2021 |
| A call for universities to develop requirements for community engagement in ai research E Black, J Williams, MA Madaio, PL Donti The Fair and Responsible AI Workshop at the 2020 CHI Conference on Human …, 2020 | 7 | 2020 |
| Algorithmic fairness and vertical equity: Income fairness with IRS tax audit models E Black, H Elzayn, A Chouldechova, J Goldin, D Ho 2022 ACM Conference on Fairness, Accountability, and Transparency, 1479-1503, 2022 | 6 | 2022 |
| FlipTest: Fairness auditing via optimal transport E Black, S Yeom, M Fredrikson ArXiv, vol. abs/1906.09218, 2019 | 5 | 2019 |
| 2022 Theses by Author E BLACK, S BOUCHER, O DADFAR, A FIORINO, N JAIN, V KUMAR, ... | | |
| 2022 Theses by Author B BERG, E BLACK, S BOUCHER, C CODEL, O DADFAR, C DAN, ... | | |
Matt FredriksonCarnegie Mellon UniversityVerified email at cs.cmu.edu
