1 citations · 1 across the 5 of their papers we have counts for
5 papers
Practical Source Code Recovery from Binary Functions Using Anchor-Based Retrieval and LLM Reasoning
Charles Edward Gagnon, Steven H. H. Ding, Philippe Charland +1
We present a practical pipeline for recovering source code from stripped binary functions by combining reverse engineering, anchor-based source code retrieval, and large language m…
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…
Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search
Leo Song, Steven H. H. Ding, Yuan Tian +3
A Software Bill of Materials (SBoM) is a detailed inventory of all components, libraries, and modules in a software artifact, providing traceability throughout the software supply…