Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity-Reference-Cited by-同舟云学术

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Hamman Faisal¹^ORCID,Chen Jiahao²^ORCID,Dutta Sanghamitra¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Maryland, College Park, USA

2. Responsible AI LLC, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594086

Reference73 articles.

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2. Beyond ADULT and COMPAS: Fair multi-class prediction via information projection;Alghamdi Wael;Advances in Neural Information Processing Systems,2022

3. Richard Baraniuk , Mark Davenport , Ronald DeVore , and Michael Wakin . 2008. A simple proof of the restricted isometry property for random matrices. Constructive approximation 28 ( 2008 ), 253–263. Richard Baraniuk, Mark Davenport, Ronald DeVore, and Michael Wakin. 2008. A simple proof of the restricted isometry property for random matrices. Constructive approximation 28 (2008), 253–263.

4. Big Data’s Disparate Impact;Barocas Solon;California Law Review,2016

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