Learning-based Vulnerability Detection in Binary Code-Reference-Cited by-同舟云学术

Learning-based Vulnerability Detection in Binary Code

Published:2022-02-18 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Machine Learning and Computing (ICMLC)
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Author:

Aumpansub Amy¹,Huang Zhen¹

Affiliation:

1. School of Computing, DePaul University, U.S.A

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529836.3529926

Reference25 articles.

1. [ 1 ] 533 million Facebook users’ phone numbers and personal data have been leaked online 2021. https://www.cshub.com/attacks/articles/iotw-facebook-data-leak-impacts-533-million-users. [1] 533 million Facebook users’ phone numbers and personal data have been leaked online 2021. https://www.cshub.com/attacks/articles/iotw-facebook-data-leak-impacts-533-million-users.

2. Detecting Software Vulnerabilities Using Neural Networks

3. [ 3 ] CISA orders agencies to quickly patch critical Netlogon bug 2020. https://www.cyberscoop.com/cisa-netlogon-microsoft-vulnerability-emergency/. [3] CISA orders agencies to quickly patch critical Netlogon bug 2020. https://www.cyberscoop.com/cisa-netlogon-microsoft-vulnerability-emergency/.

4. Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques

5. Toward Large-Scale Vulnerability Discovery using Machine Learning

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

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

3. Survey of Techniques to Detect Cwes in Program Binaries;2023