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 language | English |
|---|---|
| Pages (from-to) | 33 |
| Number of pages | 1 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2809 |
| Publication status | Published - 2021 |
| Event | 2018 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)