Faire: Repairing fairness of neural networks via neuron condition synthesis

• Main Authors: LI, Tianlin, XIE, Xiaofei, WANG, Jian, GUO, Qing, LIU, Aishan, MA, Lei, LIU, Yang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Computing methodologies; Machine learning; Machine learning approaches; Neural networks; Software and its engineering; Software creation and management; Software verification and validation; Software defect analysis; Software testing and debugging; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8475; https://ink.library.smu.edu.sg/context/sis_research/article/9478/viewcontent/Faire__Repairing_Fairness_of_Neural_Networks_via_Neuron_Condition_Synthesis.pdf
• Institution: Singapore Management University

Deep Neural Networks (DNNs) have achieved tremendous success in many applications, while it has been demonstrated that DNNs can exhibit some undesirable behaviors on concerns such as robustness, privacy, and other trustworthiness issues. Among them, fairness (i.e., non-discrimination) is one importa...