Fuzzing

LLM fuzzing, automated prompt testing, and input generation

Resources: 3

Newest first · 2 reviewed on this page

paper2025arXiv.orgUnreviewed

FalseCrashReducer: Mitigating False Positive Crashes in OSS-Fuzz-Gen Using Agentic AI

Paschal C. Amusuo, Dongge Liu, Ricardo Andrés Calvo Méndez +3

Fuzz testing has become a cornerstone technique for identifying software bugs and security vulnerabilities, with broad adoption in both industry and open-source communities. Directly fuzzing a function requires fuzz drivers, which translate random fuzzer inputs into valid…

Agentic Threats Fuzzing3 cit.

paper2024arXiv preprintReviewed

Garak: A Framework for Security Probing Large Language Models

Leon Derczynski, Erick Galinkin, Jeffrey Martin +2

Presents garak, an open-source framework for systematically probing LLM vulnerabilities including prompt injection, data leakage, and toxicity generation.

Red Teaming Fuzzing Benchmarks & EvaluationOpen access40 cit.

tool2024GitHub / MicrosoftReviewed

PyRIT: Python Risk Identification Toolkit for Generative AI

Microsoft AI Red Team

Microsoft's open-source framework for red teaming generative AI systems, supporting automated prompt generation, attack strategies, and scoring of AI responses.

Red Teaming Fuzzing Tool Use SecurityOpen access