Which neural network makes more explainable decisions? An approach towards measuring explainability

• Main Authors: ZHANG, Mengdi, SUN, Jun, WANG, Jingyi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Deep learning models; Model interpretability; Neural network testing; OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7160; https://ink.library.smu.edu.sg/context/sis_research/article/8163/viewcontent/Zhang2022_Article_WhichNeuralNetworkMakesMoreExp__1_.pdf
• Institution: Singapore Management University

Neural networks are getting increasingly popular thanks to their exceptional performance in solving many real-world problems. At the same time, they are shown to be vulnerable to attacks, difficult to debug and subject to fairness issues. To improve people’s trust in the technology, it is often nece...