OverrideFuzz uses semantic-aware grammar fuzzing with reflection to model override hooks and dynamic rebinding, producing coverage growth and inputs that match known vulnerability patterns on CPython, Lua, and QuickJS without discovering new bugs in the evaluation window.
Lee, Joshua Wang, Michael Pelican, David J
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
QuartetFuzz introduces the Four Principles framework for harness correctness and deploys an autonomous LLM agent that produces verified harnesses, yielding 29 confirmed bugs across 23 projects and identifying violations in existing harnesses.
citing papers explorer
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OverrideFuzz: Semantic-Aware Grammar Fuzzing for Script-Runtime Vulnerabilities
OverrideFuzz uses semantic-aware grammar fuzzing with reflection to model override hooks and dynamic rebinding, producing coverage growth and inputs that match known vulnerability patterns on CPython, Lua, and QuickJS without discovering new bugs in the evaluation window.
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Quality-Assured Fuzz Harness Generation via the Four Principles Framework
QuartetFuzz introduces the Four Principles framework for harness correctness and deploys an autonomous LLM agent that produces verified harnesses, yielding 29 confirmed bugs across 23 projects and identifying violations in existing harnesses.