A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability-Reference-Cited by-同舟云学术

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A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability

Published:2020-08 Issue: Volume:37 Page:100270
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Huang Xiaowei,Kroening Daniel,Ruan Wenjie,Sharp James,Sun Youcheng,Thamo Emese,Wu Min,Yi Xinping

Funder

UK EPSRC

UK Dstl

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference202 articles.

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5. Why Uber’s self-driving car killed a pedestrian,2018

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