An empirical study on robustness of DNNs with out-of-distribution awareness

• Main Authors: ZHOU, Lingjun, YU, Bing, BEREND, David, XIE, Xiaofei, LI, Xiaohong, ZHAO, Jianjun, LIU, Xusheng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7095
• Institution: Singapore Management University

The state-of-the-art deep neural network (DNN) achieves impressive performance on the input that is similar to training data. However, it fails to make reasonable decisions on the input that is quite different from training data, i.e., out-of-distribution (OOD) examples. Although many techniques hav...