LLM4CodeRE adapts LLMs with multi-adapter and seq2seq fine-tuning for accurate assembly-to-source decompilation and reverse translation in code reverse engineering.
Llm4decompile: Decompiling binary code with large language models
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Agentic LLM systems for reverse engineering fail on obfuscation, timing, and unique architectures due to token limits and missing guardrails, with challenges and directions proposed.
citing papers explorer
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LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering
LLM4CodeRE adapts LLMs with multi-adapter and seq2seq fine-tuning for accurate assembly-to-source decompilation and reverse translation in code reverse engineering.
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Challenges and Future Directions in Agentic Reverse Engineering Systems
Agentic LLM systems for reverse engineering fail on obfuscation, timing, and unique architectures due to token limits and missing guardrails, with challenges and directions proposed.