Black-Box Testing of Deep Neural Networks-Reference-Cited by-同舟云学术

Black-Box Testing of Deep Neural Networks

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE)
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Author:

Byun Taejoon¹,Rayadurgam Sanjai¹,Heimdahl Mats P.E.¹

Affiliation:

1. University of Minnesota,Minneapolis,MN,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9700160/9700163/09700360.pdf?arnumber=9700360

Reference71 articles.

1. Verification of Image-based Neural Network Controllers Using Generative Models

2. Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving

3. Can testedness be effectively measured?

4. Coverage and Its Discontents

5. Manifold for Machine Learning Assurance;byun;2020 IEEE/ACM 42nd International Conference on Software Engineering New Ideas and Emerging Results (ICSE-NIER) ICSE-NIER,2020

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