Sep 1, 2022 · In this paper, we propose a novel solution CAMFuzz to guide the fuzzing process with explainable decisions in explainable artificial intelligence (XAI).
The model is a deep learning model equipped with attention mechanism which is learned and updated periodically whilst fuzzing. Our evaluation shows that ATTuzz ...
Grey-box fuzzing techniques have been widely used in software bug finding. In general, there are many decisions to make in the fuzzing process, ...
CAMFuzz: Explainable Fuzzing with Local Interpretation. Article. Full-text available. Sep 2022. Ji Shi · Wei Zou · Chao Zhang; [...] ...
Nov 27, 2024 · Research from Chinese Academy of Sciences Yields New Data on Cybersecurity (CAMFuzz: Explainable Fuzzing with Local Interpretation).
Oct 15, 2024 · 针对上述问题，作者提出了一种名为CAMFuzz的新型解决方案，其利用了可解释人工智能和程序理解能力来分析首先需要解锁程序中的哪些代码块，应该优先变异哪些字 ...
2022 - Automatically Seed Corpus and Fuzzing Executables Generation Using Test Framework · 2022 - CAMFuzz: Explainable Fuzzing with Local Interpretation · 2022 ...
Article: 18. This is part of 1 collection: CAMFuzz: Explainable Fuzzing with Local Interpretation. Authors (first, second and last of 7). Ji Shi; Wei Zou; Wei ...
People also ask
What is an example of a fuzzing?
Which types of failures resulting from fuzz testing indicate security flaws?
What is the purpose of fuzz testing?
What type of fuzzing is known as intelligent fuzzing?
Modern fuzzing tools like AFL operate at a lexical level: They explore the input space of tested programs one byte after another. For inputs with complex ...
Dec 19, 2022 · Abstract—While the aim of fuzzer evaluation is to establish fuzzer performance in general, an evaluation is always conducted.
Missing: CAMFuzz: | Show results with:CAMFuzz: