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Abstract
“sTile”, a method for distributing trust-needing computation onto insecure networks, whereas providing probabilistic guarantees that malicious agents that compromise components of the network cannot learn non-public knowledge. With sTile, we explore the fundamental cost of achieving privacy through data distribution and bound how much less efficient a privacy-preserving system is than a nonprivate one.