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cs.SE2025
Cross-site scripting adversarial attacks based on deep reinforcement learning: Evaluation and extension study
Samuele Pasini, Gianluca Maragliano, Jinhan Kim +1
Cross-site scripting (XSS) poses a significant threat to web application security. While Deep Learning (DL) has shown remarkable success in detecting XSS attacks, it remains vulner…
cs.SE2024
Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs
Samuele Pasini, Jinhan Kim, Tommaso Aiello +3
Large Language Models (LLMs) are increasingly used in software development to generate functions, such as attack detectors, that implement security requirements. A key challenge is…