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Potential and Challenges of Large Language Models for Reverse Engineering
Xinyu Hu, Zhiwei Fu, Shaocong Xie +2
Reverse engineering (RE) is central to cybersecurity, supporting tasks such as decompilation, deobfuscation, and security analysis. However, RE remains labor-intensive and expertis…
Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
Mengdi Lu, Steven Ding, Furkan Alaca +1
Security vulnerabilities in Internet-of-Things devices, mobile platforms, and autonomous systems remain critical. Traditional mutation-based fuzzers -- while effectively explore co…
Beyond Embeddings: Interpretable Feature Extraction for Binary Code Similarity
Charles E. Gagnon, Steven H. H. Ding, Philippe Charland +1
Binary code similarity detection is a core task in reverse engineering. It supports malware analysis and vulnerability discovery by identifying semantically similar code in differe…