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1 Ergebnisse
1
Can You Fake It Until You Make It? : Impacts of Differen..:
, In:
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
,
Cheng, Victoria
;
Suriyakumar, Vinith M.
;
Dullerud, Natalie
.. - p. 149-160 , 2021
Link:
https://dl.acm.org/doi/10.1145/3442188.3445879
RT T1 <cTitle>Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>Can You Fake It Until You Make It? : Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3445879&Exemplar=1&LAN=DE A1 Cheng, Victoria A1 Suriyakumar, Vinith M. A1 Dullerud, Natalie A1 Joshi, Shalmali A1 Ghassemi, Marzyeh PB ACM YR 2021 K1 Security and privacy K1 Computing methodologies K1 Human and societal aspects of security and privacy K1 Social and professional topics K1 Computing/technology policy K1 Machine learning K1 Privacy protections K1 Machine learning approaches SP 149 OP 160 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3442188.3445879 DO https://dl.acm.org/doi/10.1145/3442188.3445879 SF ELIB - SuUB Bremen
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