Скачать или смотреть ReSym: Cracking the Code of Stripped Binaries with Hybrid AI

About this Episode:
Reverse engineering just hit a new milestone. In this deep dive, we explore ReSym, a breakthrough AI-powered tool developed by researchers at Purdue University. ReSym recently earned the prestigious ACM CCS Distinguished Paper Award for its revolutionary "Hybrid" approach—combining the linguistic power of Large Language Models (LLMs) with the logical rigor of Prolog reasoning to recover names, types, and data structures from stripped binaries.

What we cover:
How ReSym recovers user-defined data structures that traditional tools miss.
The use of Prolog-based posterior reasoning to eliminate AI hallucinations.
Real-world performance: How ReSym outperforms current state-of-the-art systems.

⚠️ AI DISCLOSURE:
This content was created using Generative AI tools, including Google NotebookLM, to summarize and narrate complex academic research. For the full technical methodology and experimental results, please refer to the official peer-reviewed sources listed below.

📚 OFFICIAL SOURCES & CITATIONS:

Purdue News: AI-Powered Tool for Reverse Engineering Earns ACM CCS Award [https://www.cs.purdue.edu/news/articl...]
Full Paper (PDF): ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols [https://www.cs.purdue.edu/homes/linta...]
ACM Digital Library: ReSym Official Publication (CCS '24) [https://dl.acm.org/doi/10.1145/365864...]
Purdue Engineering: CRISP Research Highlight: ReSym Tool [https://engineering.purdue.edu/CRISP/...]

#ReSym #CyberSecurity #ReverseEngineering #LLM #AI #ACMCCS #Infosec #PurdueUniversity #MalwareAnalysis