White-box fairness testing through adversarial sampling

• المؤلفون الرئيسيون: ZHANG, Peixin, WANG, Jingyi, SUN, Jun, DONG, Guoliang, WANG, Xinyu, WANG, Xingen, DONG, Jin Song, TING, Dai
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2020
• الموضوعات: Information Security; Software Engineering
• 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

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...