Efficient Greybox Fuzzing to Detect Memory Errors-Reference-Cited by-同舟云学术

Efficient Greybox Fuzzing to Detect Memory Errors

Published:2022-10-10 Issue: Volume: Page:
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Container-title:Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
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Author:

Ba Jinsheng¹^ORCID,Duck Gregory J.¹^ORCID,Roychoudhury Abhik¹^ORCID

Affiliation:

1. National University of Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551349.3561161

Reference44 articles.

1. P. Akritidis , M. Costa , M. Castro , and S. Hand . 2009 . Baggy Bounds Checking: An Efficient and Backwards-Compatible Defense Against Out-of-Bounds Errors. In USENIX Security Symposium. USENIX. P. Akritidis, M. Costa, M. Castro, and S. Hand. 2009. Baggy Bounds Checking: An Efficient and Backwards-Compatible Defense Against Out-of-Bounds Errors. In USENIX Security Symposium. USENIX.

2. C. Aschermann , S. Schumilo , T. Blazytko , R. Gawlik , and T. Holz . 2019 . REDQUEEN: Fuzzing with Input-to-State Correspondence . In NDSS. Internet Society . C. Aschermann, S. Schumilo, T. Blazytko, R. Gawlik, and T. Holz. 2019. REDQUEEN: Fuzzing with Input-to-State Correspondence. In NDSS. Internet Society.

3. J. Ba. 2022. The ReZZan Artifact. https://doi.org/10.5281/zenodo.6965396 10.5281/zenodo.6965396

4. J. Ba. 2022. The ReZZan Artifact. https://doi.org/10.5281/zenodo.6965396

5. J. Ba G. Duck and A. Roychoudhury. 2022. Fast Fuzzing for Memory Errors. https://arxiv.org/abs/2204.02773 J. Ba G. Duck and A. Roychoudhury. 2022. Fast Fuzzing for Memory Errors. https://arxiv.org/abs/2204.02773

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