Titlebook: Data and Applications Security and Privacy XXXV; 35th Annual IFIP WG Ken Barker,Kambiz Ghazinour Conference proceedings 2021 IFIP Internat

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Conference proceedings 20041st editioner. In order to guarantee the security and privacy of the scheme and support the multi-client model (i.e. synchronization between users), we exploit the functionality offered by AMD’s Secure Encrypted Virtualization (SEV).

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Conference proceedings 20061st editionstence of symmetric encryption schemes. We evaluate the accuracy of our classifier and show that it is significantly better than the random classifier and not much worse than more powerful classifiers (e.g., .-nearest neighbor) for which however no efficient obfuscator is known.

FLIRT

D. P. Landau,S. P. Lewis,H. -B. Schüttlerser story contains in a named entity recognition task. Finally, it determines the type of access between the identified actors, data objects, and operations through a classification prediction. This information can then be used to construct access control documentation and information useful to stak

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