3 papers
cs.SE2025
Optimizing Code Embeddings and ML Classifiers for Python Source Code Vulnerability Detection
Talaya Farasat, Joachim Posegga
In recent years, the growing complexity and scale of source code have rendered manual software vulnerability detection increasingly impractical. To address this challenge, automate…
cs.SE2024
SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python
Talaya Farasat, Atiqullah Ahmadzai, Aleena Elsa George +3
Software vulnerabilities are a fundamental cause of cyber attacks. Effectively identifying these vulnerabilities is essential for robust cybersecurity, yet it remains a complex and…
cs.SE2024
Machine Learning Techniques for Python Source Code Vulnerability Detection
Talaya Farasat, Joachim Posegga
Software vulnerabilities are a fundamental reason for the prevalence of cyber attacks and their identification is a crucial yet challenging problem in cyber security. In this paper…