LLM-based fuzz driver generation
As software complexity continues to escalate, traditional fuzzing methodologies encounter limitations in efficiently discovering vulnerabilities, underscoring the need for innovative approaches. This thesis investigates the innovative integration of Large Language Models (LLMs) into the process of f...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175404 |