No-Fuzz: Efficient Anti-fuzzing Techniques-Reference-Cited by-同舟云学术

No-Fuzz: Efficient Anti-fuzzing Techniques

Published:2023 Issue: Volume: Page:731-751
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Zhou Zhengxiang,Wang Cong,Zhao Qingchuan

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25538-0_38

Reference38 articles.

1. Binary-only fuzzing of honggfuzz. https://github.com/google/fuzzer-test-suite. Accessed 12 Mar 2022

2. QASan (QEMU-AddressSanitizer). https://github.com/andreafioraldi/qasan. Accessed 12 Mar 2021

3. A library for coverage-guided fuzz testing. https://llvm.org/docs/LibFuzzer.html (2017)Accessed 23 Oct 2020

4. Aizatsky, M., Serebryany, K., Chang, O., Arya, A.: Announcing oss-fuzz: continuous fuzzing for open source software. Google Testing Blog, Announcing OSS-Fuzz (2016)

5. Balzarotti, D., et al.: Efficient detection of split personalities in malware. In: Proceedings of the NDSS (2010)

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