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Titlebook: Advances in Artificial Intelligence and Security; 7th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2021

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Niki J. Agnantis,Demetrios A. Spandidosting the API call information and the shellcode information. 2) Compared with traditional sandbox, it can supply a more realistic operating environment for malware, greatly reducing the possibility of being detected by malware. 3) Compared with previous work, it can obtain cleaner and more accurate
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S. L. Schor,A. M. Schor,A. Howell,J. Haggie we optimize the classifier with a fixed feature extractor during training to suppress the re-balancing effect on the backbone learned in the first stage. To assess the performance of the proposed approach, experiments are conducted on the BIG 2015 dataset. The experimental results demonstrate that
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https://doi.org/10.1007/978-0-387-71595-7ning algorithm is used to detect and classify the false data injection attack, and the state information of the attacked power system is identified by integrating multiple decision trees. A large number of experiments show that the method has good recognition performance in different IEEE node syste
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Metastatic and Secondary Tumors,cy information, through which people often recognizes an object. The experiments show that the presented model suppresses the success rate of the attack in the face of the adversarial examples, and improves the model’s recognition success rate, comparing to some other methods.
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Design and Implementation of Information Detection System Based on Privacy Sensitive Data978-3-658-05108-2
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