A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability (2020)
Attributed to:
UK Robotics and Artificial Intelligence Hub for Offshore Energy Asset Integrity Management
funded by
ISCF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.cosrev.2020.100270
Publication URI: http://dx.doi.org/10.1016/j.cosrev.2020.100270
Type: Journal Article/Review
Parent Publication: Computer Science Review