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Lecture Notes in Computer Science
In secure multi-party shuffling, multiple parties, each holding an input, want to agree on a random permutation of their inputs while keeping the permutation secret. This problem is important as a primitive in many privacy-preserving applications such as anonymous communication, location-based services, and electronic voting. Known techniques for solving this problem suffer from poor scalability, load-balancing issues, trusted party assumptions, and/or weak security guarantees. In this paper,doi:10.1007/978-3-319-25258-2_32 fatcat:ger7t4s6h5avjnnbeefg7sfv3i