Towards testing of deep learning systems

Research output: Contribution to journalConference articlepeer-review

Abstract

Deep learning has achieved great success in many application domains such as image processing, speech recognition, and autonomous vehicles. However, how to ensure the reliability of deep learning systems remains an open problem. In this keynote, I introduce several automated testing techniques to ensure the reliability of deep learning systems.

Original languageEnglish
Pages (from-to)33
Number of pages1
JournalCEUR Workshop Proceedings
Volume2809
Publication statusPublished - 2021
Event2018 International Workshop on Evidence-Based Security and Privacy in the Wild and the 1st International Workshop on Machine Learning Systems Engineering, WESPr-iMLSE 2018 - Nara, Japan
Duration: Dec 4 2018 → …

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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