DSFuzz: Detecting Deep State Bugs with Dependent State Exploration-Reference-Cited by-同舟云学术

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DSFuzz: Detecting Deep State Bugs with Dependent State Exploration

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
language:
Short-container-title:

Author:

Liu Yinxi¹^ORCID,Meng Wei¹^ORCID

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong

Funder

Research Grants Council of the Hong Kong SAR China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3616594

Reference47 articles.

1. 2020. Circumventing Fuzzing Roadblocks with Compiler Transformations. https: //lafintel.wordpress.com/.

2. 2020. DARPA Cyber Grand Challenge. https://github.com/CyberGrandChallenge.

3. 2021. Data flow sanitizer - clang 13 documentation. https://clang.llvm.org/docs/ DataFlowSanitizer.html.

4. 2022. PolyTracker: An LLVM-based instrumentation tool for universal taint track- ing dataflow analysis and tracing. https://github.com/trailofbits/polytracker.

5. Cornelius Aschermann. 2020. Algorithmic improvements for feedback-driven fuzzing. Ph.,D. Dissertation. Ruhr University Bochum, Germany.

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