White-box fairness testing through adversarial sampling

• Main Authors: ZHANG, Peixin, WANG, Jingyi, SUN, Jun, DONG, Guoliang, WANG, Xinyu, WANG, Xingen, DONG, Jin Song, TING, Dai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4632; https://ink.library.smu.edu.sg/context/sis_research/article/5635/viewcontent/0_main.pdf
• Institution: Singapore Management University

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...