Automated Software Test Data Generation With Generative Adversarial Networks

Author:

Guo Xiujing1ORCID,Okamura Hiroyuki1ORCID,Dohi Tadashi1

Affiliation:

1. Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Reference22 articles.

1. A generative neural network framework for automated software testing;joffe;arXiv 2006 16335,2020

2. FuzzGuard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning;zong;Proc 29th USENIX Secur Symp (USENIX Secur ),2020

3. GANFuzz

4. A deep convolution generative adversarial networks based fuzzing framework for industry control protocols

5. How Generative Adversarial Networks and Their Variants Work

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