Binary Program Analysis
Binary program analysis and understanding refers to the process of examining and comprehending the behavior and structure of compiled computer programs. Unlike source code analysis, binary analysis involves working directly with the machine code representation of a program. It encompasses various techniques such as disassembly, decompilation, and reverse engineering to extract information about the program's functionality, control flow, data structures, and vulnerabilities. Binary analysis plays a crucial role in several domains, including malware analysis, vulnerability research, software security, and performance optimization. By unraveling the intricacies of compiled code, analysts and researchers gain insights into program behavior, identify potential security flaws, and develop effective solutions to enhance software reliability and security.
Machine learning techniques have shown great potential in the field of binary program understanding. By leveraging the power of artificial intelligence, these techniques enable automated analysis, interpretation, and comprehension of binary programs. But one of the bottlenecks for applying machine learning techniques on this task is the lack of ground truth, on which we are working extensively.