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STIMSMITH

Large Language Models (LLMs)

Technique
First seen 6/24/2026
Last seen 6/24/2026
Evidence 5 chunks

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RELATIONSHIPS

4 connections
LLM-based Input Generator ← uses 80% 2e
This module relies on an LLM (GPT-2 family) to generate test inputs.
Universal fuzzing via large language models ← uses 82% 2e
Cites concurrent work employing LLMs for software fuzzing.
ChatFuzz ← uses 97% 1e
LLMs are used to learn machine language and produce instruction sequences.
Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing ← uses 95% 1e
LLMs are central to the proposed ML-based fuzzing approach.