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1 Ergebnisse
1
Neither Private Nor Fair : Impact of Data Imbalance on U..:
, In:
Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice
,
Farrand, Tom
;
Mireshghallah, Fatemehsadat
;
Singh, Sahib
. - p. 15-19 , 2020
Link:
https://dl.acm.org/doi/10.1145/3411501.3419419
RT T1
Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice
: T1
Neither Private Nor Fair : Impact of Data Imbalance on Utility and Fairness in Differential Privacy
UL https://suche.suub.uni-bremen.de/peid=acm-3419419&Exemplar=1&LAN=DE A1 Farrand, Tom A1 Mireshghallah, Fatemehsadat A1 Singh, Sahib A1 Trask, Andrew PB ACM YR 2020 K1 bias K1 data imbalance K1 deep learning K1 differential privacy K1 fairness K1 Security and privacy K1 Human and societal aspects of security and privacy K1 Social aspects of security and privacy K1 Privacy protections K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Usability in security and privacy K1 Security services K1 Privacy-preserving protocols SP 15 OP 19 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3411501.3419419 DO https://dl.acm.org/doi/10.1145/3411501.3419419 SF ELIB - SuUB Bremen
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