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Cloud computing services are becoming prevalent and readily available today, bringing to one economies of scale and making large scale computation feasible. Security and privacy considerations, however, stand on the way of fully utilizing the benefits of such services and architectures. In this paper, the authors address the problem of secure outsourcing of large-scale biometric experiments to a cloud, where privacy of the data is preserved and the client can verify that with very high probability the task was computed correctly. They conduct thorough theoretical analysis of the proposed techniques and provide instantiations for concrete biometric types that show that the overhead is modest.
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