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Benchmarking the Robustness of Phishing Email Detection Systems.

, , , , and . AMCIS, Association for Information Systems, (2023)

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Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model., , , , and . CoRR, (2020)Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach., , , , , , , , and . ICDM (Workshops), page 488-495. IEEE, (2020)Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach., , , , , and . ICDM, page 101-109. IEEE, (2023)Identifying, Collecting, and Monitoring Personally Identifiable Information: From the Dark Web to the Surface Web., , , , , , , , and . ISI, page 1-6. IEEE, (2020)Benchmarking the Robustness of Phishing Email Detection Systems., , , , and . AMCIS, Association for Information Systems, (2023)Multi-view Representation Learning from Malware to Defend Against Adversarial Variants., , , , and . ICDM (Workshops), page 1-8. IEEE, (2022)Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces., , , , and . SP (Workshops), page 85-91. IEEE, (2021)Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach., , and . ISI, page 1-6. IEEE, (2021)