Detecting command injection attacks in web applications based on novel deep learning methods
The overall workflow is divided into two primary phases: preprocessing and model recognition. During the preprocessing phase, the dataset is...
Attacks
EaTVul: Demonstrating Over 83% Success Rate in Evasion Attacks on Deep Learning-Based Software Vulnerability Detection Systems
Software vulnerability detection has seen substantial advancements in integrating deep learning models, which have shown high accuracy in identifying potential...
