Cross-site scripting adversarial attacks based on deep reinforcement learning: Evaluation and extension study
📰 ArXiv cs.AI
Deep reinforcement learning is used to evaluate and extend cross-site scripting adversarial attacks
Action Steps
- Identify the vulnerabilities of deep learning models in detecting XSS attacks
- Employ deep reinforcement learning to generate adversarial attacks
- Evaluate the effectiveness of these attacks on various models
- Extend the study to improve the robustness of models against such attacks
Who Needs to Know This
Security teams and AI engineers can benefit from this research to improve web application security and develop more robust models to detect XSS attacks
Key Insight
💡 Adversarial attacks can exploit the discontinuous nature of DL models, making them vulnerable to XSS attacks
Share This
💡 Deep reinforcement learning generates powerful XSS adversarial attacks
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