LLAMA combines LLM-generated seeds, feedback-driven mutation scheduling, and selective symbolic execution to reach higher coverage and vulnerability detection than prior smart contract fuzzers.
Adversarial generation method for smart contract fuzz testing seeds guided by chain- based llm,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.SE 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
extend 1representative citing papers
citing papers explorer
-
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation
LLAMA combines LLM-generated seeds, feedback-driven mutation scheduling, and selective symbolic execution to reach higher coverage and vulnerability detection than prior smart contract fuzzers.