Probablistic verification of neural networks against group fairness

Fairness is crucial for neural networks which are used in applications with important societal implication. Recently, there have been multiple attempts on improving fairness of neural networks, with a focus on fairness testing (e.g., generating individual discriminatory instances) and fairness train...

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Bibliographic Details
Main Authors: SUN, Bing, SUN, Jun, DAI, Ting, ZHANG, Lijun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/6214
https://ink.library.smu.edu.sg/context/sis_research/article/7217/viewcontent/2107.08362.pdf
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Institution: Singapore Management University
Language: English

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