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8th MTD@CCS 2021: Virtual Event, Korea

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  - conf/ccs/2021mtd
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Trent Jaeger, Zhiyun Qian:
MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, Virtual Event, Republic of Korea, 15 November 2021. ACM 2021, ISBN 978-1-4503-8658-6
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  - conf/ccs/Volckaert21
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Stijn Volckaert:
Randomization-based Defenses against Data-Oriented Attacks. 1-2
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  - conf/ccs/AbdelnabiF21
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Sahar Abdelnabi, Mario Fritz:
What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. 3-12
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  - conf/ccs/IzmailovLVS21
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Rauf Izmailov, Peter Lin, Sridhar Venkatesan, Shridatt Sugrim:
Combinatorial Boosting of Classifiers for Moving Target Defense Against Adversarial Evasion Attacks. 13-21
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  - conf/ccs/Fang21
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Fei Fang:
Game Theoretic Models for Cyber Deception. 23-24
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  - conf/ccs/Shan21
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Shawn Shan:
Using Honeypots to Catch Adversarial Attacks on Neural Networks. 25
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  - conf/ccs/Burow21
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Nathan Burow:
Research Frontiers for Moving Target Defenses. 27-28
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  - conf/ccs/ChhabraM21
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Anshuman Chhabra, Prasant Mohapatra:
Moving Target Defense against Adversarial Machine Learning. 29-30
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Zhongjie Wang, Shitong Zhu, Keyu Man, Pengxiong Zhu, Yu Hao, Zhiyun Qian, Srikanth V. Krishnamurthy, Tom La Porta, Michael J. De Lucia:
Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison. 31-32
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  - conf/ccs/00140FX21
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Zhe Li, Bo Chen, Wu-chang Feng, Fei Xie:
Concolic Execution of NMap Scripts for Honeyfarm Generation. 33-42
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