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ORCID8th MTD@CCS 2021: Virtual Event, Korea
- 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 - Stijn Volckaert:
Randomization-based Defenses against Data-Oriented Attacks. 1-2 - Sahar Abdelnabi, Mario Fritz:
What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. 3-12 - Rauf Izmailov, Peter Lin, Sridhar Venkatesan, Shridatt Sugrim:
Combinatorial Boosting of Classifiers for Moving Target Defense Against Adversarial Evasion Attacks. 13-21 - Fei Fang:
Game Theoretic Models for Cyber Deception. 23-24 - Shawn Shan:
Using Honeypots to Catch Adversarial Attacks on Neural Networks. 25 - Nathan Burow:
Research Frontiers for Moving Target Defenses. 27-28 - Anshuman Chhabra, Prasant Mohapatra:
Moving Target Defense against Adversarial Machine Learning. 29-30 - 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 - Zhe Li, Bo Chen, Wu-chang Feng, Fei Xie:
Concolic Execution of NMap Scripts for Honeyfarm Generation. 33-42
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