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Leveraging Intra-Day Temporal Variations to Predict Daily Cyberattack Activity., , and . ISI, page 58-63. IEEE, (2018)ACM KDD AI4Cyber/MLHat: Workshop on AI-enabled Cybersecurity Analytics and Deployable Defense., , , , , and . KDD, page 4900-4901. ACM, (2022)DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents., , , , , , , , , and . AAAI, page 16425-16427. AAAI Press, (2023)The 3rd Workshop on Artificial Intelligence-enabled Cybersecurity Analytics., , and . KDD, page 5880-5881. ACM, (2023)ACM KDD AI4Cyber: The 1st Workshop on Artificial Intelligence-enabled Cybersecurity Analytics., , and . KDD, page 4153-4154. ACM, (2021)Discovery of Rare yet Co-occurring Actions with Temporal Characteristics in Episodic Cyberattack Streams., and . ICCCN, page 1-10. IEEE, (2022)Quantifying impact on safety from cyber-attacks on cyber-physical systems., , , , and . CoRR, (2022)Non-independent Cascade Formation: Temporal and Spatial Effects., , and . CIKM, page 1923-1926. ACM, (2014)CAPTURE: Cyberattack Forecasting Using Non-Stationary Features with Time Lags., , , and . CNS, page 205-213. IEEE, (2019)High level information fusion for tracking and projection of multistage cyber attacks., , , , and . Inf. Fusion, 10 (1): 107-121 (2009)