Generating realistic vulnerabilities via neural code editing: an empirical study

Author:

Nong Yu1,Ou Yuzhe2,Pradel Michael3,Chen Feng2,Cai Haipeng1

Affiliation:

1. Washington State University, USA

2. University of Texas at Dallas, USA

3. University of Stuttgart, Germany

Publisher

ACM

Reference66 articles.

1. Miltiadis Allamanis Marc Brockschmidt and Mahmoud Khademi. 2017. Learning to represent programs with graphs. arXiv preprint arXiv:1711.00740. Miltiadis Allamanis Marc Brockschmidt and Mahmoud Khademi. 2017. Learning to represent programs with graphs. arXiv preprint arXiv:1711.00740.

2. Evaluation of Software Vulnerability Detection Methods and Tools: A Review

3. Comparing the Effectiveness of Penetration Testing and Static Code Analysis on the Detection of SQL Injection Vulnerabilities in Web Services

4. A comparison of the efficiency and effectiveness of vulnerability discovery techniques

5. One Technique is Not Enough: A Comparison of Vulnerability Discovery Techniques

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