Titlebook: Cryptology and Network Security; 19th International C Stephan Krenn,Haya Shulman,Serge Vaudenay Conference proceedings 2020 Springer Nature

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Cryptology and Network Security978-3-030-65411-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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FLINT

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978-3-030-65410-8Springer Nature Switzerland AG 2020

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GRAIN

安心地散步

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hey inject a small amount of poisoning points into a training set of the machine learning model, aiming to degrade the overall accuracy of the model. . is a variant of data poisoning attacks that injects malicious data into the model to cause a misclassification of the . input data while keeping alm

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ironments. Hence, a defense mechanism needs to be incorporated in emulation based analysis platforms to mitigate the emulation-detection strategies opted by malware. In this paper, first we design an emulation-detection library that has configurable capabilities ranging from basic to advanced detect

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