DeepStellar: Model-based quantitative analysis of stateful deep learning systems

• Main Authors: DU, Xiaoning, XIE, Xiaofei, LI, Yi, MA, Lei, LIU, Yang, ZHAO, Jianjun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Deep learning; recurrent neural network; model-based analysis; adversarial sample; testing; OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7068; https://ink.library.smu.edu.sg/context/sis_research/article/8071/viewcontent/3338906.3338954.pdf
• Institution: Singapore Management University

Deep Learning (DL) has achieved tremendous success in many cutting-edge applications. However, the state-of-the-art DL systems still suffer from quality issues. While some recent progress has been made on the analysis of feed-forward DL systems, little study has been done on the Recurrent Neural Net...