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MTDNNF: Building the Security Framework for Deep Neural Network by Moving Target Defense.

, , , and . ACAI, page 46:1. ACM, (2020)

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A System Attack Surface Based MTD Effectiveness and Cost Quantification Framework., , and . ICCSP, page 175-179. ACM, (2018)Simulation Model for Cascading Failure in Complex Network: A Cellular Automata Approach., , , and . WSSE, page 274-277. ACM, (2020)MTDNNF: Building the Security Framework for Deep Neural Network by Moving Target Defense., , , and . ACAI, page 46:1. ACM, (2020)Defeating the Non-stationary Opponent Using Deep Reinforcement Learning and Opponent Modeling., , , and . CollaborateCom (2), volume 562 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 57-78. Springer, (2023)IKN-CF: An Approach to Identify Key Nodes in Inter-Domain Routing Systems Based on Cascading Failures., , , and . Entropy, 23 (11): 1456 (2021)A Model for Analyzing the Effectiveness of Moving Target Defense., , and . ICCNS, page 17-21. ACM, (2018)Intelligent Penetration Testing in Dynamic Defense Environment., , , and . CSW, page 10-15. ACM, (2022)Cheat-FlipIt: An Approach to Modeling and Perception of a Deceptive Opponent., , and . SETTA, volume 14464 of Lecture Notes in Computer Science, page 368-384. Springer, (2023)Cyber-Security Enhanced Network Meta-Model and its Application., , , and . CSP, page 80-85. IEEE, (2022)A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios., , , and . KSEM (4), volume 14120 of Lecture Notes in Computer Science, page 83-98. Springer, (2023)