Detecting Software Vulnerabilities Using Neural Networks

Author:

Aumpansub Amy1,Huang Zhen1

Affiliation:

1. DePaul University, U.S.

Publisher

ACM

Reference27 articles.

1. 2020. Apple Security Bounty. https://developer.apple.com/security-bounty/. 2020. Apple Security Bounty. https://developer.apple.com/security-bounty/.

2. 2020. Facebook. https://www.facebook.com/whitehat/. 2020. Facebook. https://www.facebook.com/whitehat/.

3. 2020. Intel Bug Bounty Program. https://www.intel.com/content/www/us/en/security-center/bug-bounty-program.html. 2020. Intel Bug Bounty Program. https://www.intel.com/content/www/us/en/security-center/bug-bounty-program.html.

4. 2020. Microsoft Bug Bounty Program. https://www.microsoft.com/en-us/msrc/bounty?rtc=1. 2020. Microsoft Bug Bounty Program. https://www.microsoft.com/en-us/msrc/bounty?rtc=1.

5. Machine Learning Methods for Software Vulnerability Detection

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1. Debloating Feature-Rich Closed-Source Windows Software;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

2. Targeted Symbolic Execution for UAF Vulnerabilities;2023 7th International Conference on System Reliability and Safety (ICSRS);2023-11-22

3. Multiclass Classification of Software Vulnerabilities with Deep Learning;Proceedings of the 2023 15th International Conference on Machine Learning and Computing;2023-02-17

4. Runtime Recovery for Integer Overflows;2022 6th International Conference on System Reliability and Safety (ICSRS);2022-11-23

5. Semantic-Aware Vulnerability Detection;2022 IEEE International Conference on Cyber Security and Resilience (CSR);2022-07-27

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