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Adaptive Experimental Design for Intrusion Data Collection.

, , , , , and . CAMLIS, volume 3652 of CEUR Workshop Proceedings, page 134-151. CEUR-WS.org, (2023)

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A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities., , and . CoRR, (2020)Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience., , and . CoRR, (2023)Sequence Types for the pi-calculus.. ITRS, volume 136 of Electronic Notes in Theoretical Computer Science, page 117-132. Elsevier, (2004)Haxss: Hierarchical Reinforcement Learning for XSS Payload Generation., and . TrustCom, page 147-158. IEEE, (2022)DeepTective: detection of PHP vulnerabilities using hybrid graph neural networks., , and . SAC, page 1687-1690. ACM, (2021)SQIRL: Grey-Box Detection of SQL Injection Vulnerabilities Using Reinforcement Learning., , and . USENIX Security Symposium, page 6097-6114. USENIX Association, (2023)A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities., , and . DSC, page 1-9. IEEE, (2022)Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems., , , and . TrustCom, page 899-910. IEEE, (2020)CPS-MT: A Real-Time Cyber-Physical System Monitoring Tool for Security Research., , , , , , and . RTCSA, page 240-241. IEEE Computer Society, (2018)Certified Federated Adversarial Training., , , , and . CoRR, (2021)