White-box fairness testing through adversarial sampling
Although deep neural networks (DNNs) have demonstrated astonishing performance in many applications, there are still concerns on their dependability. One desirable property of DNN for applications with societal impact is fairness (i.e., non-discrimination). In this work, we propose a scalable approa...
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| المؤلفون الرئيسيون: | , , , , , , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2020
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/4632 https://ink.library.smu.edu.sg/context/sis_research/article/5635/viewcontent/0_main.pdf |
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