Binary Similarity

Binary similarity focuses on identifying similarities between binary files, primarily to analyze software functions and determine if they originate from the same source code. Current research emphasizes developing robust and efficient algorithms, such as architecture-neutral embedding frameworks that leverage intermediate representations to capture both syntactic and semantic information, improving accuracy and speed compared to previous methods. This field is crucial for software security analysis, enabling the detection of vulnerabilities and malicious code, and also finds applications in biometric identification and data analysis through improved accuracy in pattern recognition. However, the vulnerability of these systems to adversarial attacks is a growing concern, highlighting the need for more resilient models.