ADVERSARIALLY ROBUST AND REAL-TIME EXPLAINABLE DETECTION OF CROSS-SITE SCRIPTING ATTACKS By USING ADAPTIVE MACHINE LEARNING
Fields of Study & Subjects
Web Application Security Vulnerabilities
Adversarial Robustness in Machine Learning
Network Security and Intrusion Detection
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 January 2026