This repository serves as a curated collection of recent research papers on fuzzing, categorized by publication venue and subject. It aims to provide a centralized resource for researchers and practitioners interested in the latest advancements in automated software testing and vulnerability discovery.

How It Works

The project aggregates links and abstracts of papers related to fuzzing, covering a wide spectrum of techniques including coverage-guided, grammar-based, hybrid, and machine learning-driven fuzzing. It also includes classifications by subject matter such as kernel fuzzing, IoT fuzzing, smart contract fuzzing, and anti-fuzzing techniques.

Highlighted Details

• Comprehensive listing of papers from major security and systems conferences (e.g., USENIX Security, CCS, S&P, NDSS, ICSE, FSE).
• Categorization by fuzzing methodology, target domain, and specific techniques (e.g., differential fuzzing, LLM-guided fuzzing).
• Includes survey and review papers offering broader perspectives on the field.

Maintenance & Community

This is a community-driven project. Contributions for updating or adding papers are welcome via Pull Requests.

Licensing & Compatibility

The repository itself does not contain code, only links to external research papers. The licensing of the papers is determined by their respective publishers.

Limitations & Caveats

The README indicates that the web version of the paper list at https://wcventure.github.io/FuzzingPaper/ may contain more complete information than the GitHub markdown file, which can be cropped.