AI-Powered Cross-Modal Retrieval for Analyzing Stripped Binary Code

This research explores a novel application of cross-modal retrieval models in a niche area: analyzing stripped binary files. The application of AI to binary analysis could significantly improve reverse engineering and vulnerability discovery workflows.

• •Applies AI to the challenging problem of analyzing stripped binary files.
• •Utilizes cross-modal retrieval, suggesting the integration of different data types.
• •Potentially improves reverse engineering and vulnerability analysis.