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"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice., , , , , and . CoRR, (2022)Cybersecurity in the Smart Grid: Practitioners' Perspective., and . CoRR, (2022)Äre Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages., , , , and . WWW, page 1712-1723. ACM, (2024)Identifying malicious hosts involved in periodic communications., , , , and . NCA, page 11-18. IEEE Computer Society, (2017)On the Evaluation of Sequential Machine Learning for Network Intrusion Detection., , and . ARES, page 113:1-113:10. ACM, (2021)Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations., , , , , and . ESORICS (3), volume 14346 of Lecture Notes in Computer Science, page 162-182. Springer, (2023)Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2., , , and . CoRR, (2022)Understanding the Process of Data Labeling in Cybersecurity., , and . CoRR, (2023)The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems., , and . CoRR, (2022)The Role of Machine Learning in Cybersecurity., , , , , , and . CoRR, (2022)