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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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Distributed Query Evaluation over Encrypted Dataations combining these sources hard. In this paper, we propose an approach enabling collaborative computations over data encrypted in storage, selectively involving also subjects that might not be authorized for accessing the data in plaintext when it is considered economically convenient.
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Multi-party Private Set Operations with an External Decidernts of multi-party PSO, for the external decider setting. All parties except the decider have a private set. Parties other than the decider neither learn this result, nor anything else from this protocol. Moreover, we studied generic solutions to the problem of PSO in the presence of an external decider.
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Deep Learning for Detecting Network Attacks: An End-to-End Approachaws within the network protocols. Our findings show that fuzzing generates data samples that cover real-world data and deep learning models trained with fuzzed data can successfully detect real network attacks.
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0302-9743 ec 2021, held in Calgary, Canada, in July 2021.*.The 15 full papers and 8 short papers presented were carefully reviewed and selected from 45 submissions. The papers present high-quality original research from academia, industry, and government on theoretical and practical aspects of information sec
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Two Quantum Cluster Approximationsntial privacy formulates an upper bound, our experiments with several datasets show that the privacy-accuracy trade-off is similar for both types of mechanisms despite the large difference in their upper bound. This suggests that the upper bound is far from the practical susceptibility to membership
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