Haxss: Hierarchical Reinforcement Learning for XSS Payload Generation

Author:

Foley Myles1,Maffeis Sergio1

Affiliation:

1. Imperial College,Department of Computing,London

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SoK: A Comparison of Autonomous Penetration Testing Agents;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

2. WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL;2024 IEEE Security and Privacy Workshops (SPW);2024-05-23

3. AARF: Autonomous Attack Response Framework for Honeypots to Enhance Interaction Based on Multi-Agent Dynamic Game;Mathematics;2024-05-11

4. Twenty-two years since revealing cross-site scripting attacks: A systematic mapping and a comprehensive survey;Computer Science Review;2024-05

5. LL-XSS: End-to-End Generative Model-based XSS Payload Creation;2024 21st Learning and Technology Conference (L&T);2024-01-15

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