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Titlebook: Compilation for Secure Multi-party Computation; Niklas Büscher,Stefan Katzenbeisser Book 2017 The Author(s) 2017 Compiler construction.Sec

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Compilation for Secure Multi-party Computation978-3-319-67522-0Series ISSN 2191-5768 Series E-ISSN 2191-5776
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Spiel und Training im Handballtor describe Boolean circuits, two secure computation protocols, namely Yao’s garbled circuits and GMW, which are prototypic for constant-round and multi-round MPC protocols over Boolean circuits. Furthermore, we discuss multiple applications that are used for benchmarking purposes.
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Introduction,Enhancing Technologies (PETs) have emerged as prime technical protection mechanism. PETs follow the idea of “privacy by design”, demanding that privacy aspects need to be taken into account during the entire engineering process of a product or service.
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Book 2017r more parties jointly evaluate a function over their inputs in such a way that each party keeps its input unknown to the other parties in MPC. MPC provides a generic way to construct Privacy-Enhancing Technologies, which protect sensitive data during processing steps in untrusted environments. A ma
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https://doi.org/10.1007/978-3-662-69267-7Enhancing Technologies (PETs) have emerged as prime technical protection mechanism. PETs follow the idea of “privacy by design”, demanding that privacy aspects need to be taken into account during the entire engineering process of a product or service.
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2191-5768 that two or more parties jointly evaluate a function over their inputs in such a way that each party keeps its input unknown to the other parties in MPC. MPC provides a generic way to construct Privacy-Enhancing Technologies, which protect sensitive data during processing steps in untrusted environm
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Spiel, Satz und Sieg für die Mathematikoptimization algorithm employing multiple techniques, such as rewrite patterns or SAT sweeping. The effectiveness of our approach is demonstrated by a practical evaluation of various benchmarking functionalities.
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Spiel, Satz und Sieg für die Mathematikne-grained and coarse-grained parallelization approach. Then we present a compiler extension to CBMC-GC that detects parallelism at the source code level and automatically transforms C code into parallel circuits. These circuits allow more scalable execution on parallel hardware, as we show in an evaluation of three example applications.
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