Fuzzwise: Intelligent Initial Corpus Generation for Fuzzing
Analysis
This article likely discusses a novel approach to improve fuzzing efficiency by intelligently generating the initial corpus used for testing. The focus is on how AI, potentially LLMs, can be leveraged to create more effective starting points for fuzzing, leading to better bug detection. The source being ArXiv suggests a peer-reviewed or pre-print research paper.
Key Takeaways
Reference
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