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Showing 1 to 5 of 5 for “"computation on encrypted data"”.

  1. Secure and practical computation on encrypted data

    This Dissertation was approved for publication on 2016-04-21 at 13:02.

    uiuc Repository record for Secure and practical computation on encrypted data (opens in a new tab)

  2. Ascend : an architecture for performing secure computation on encrypted data

    This thesis considers encrypted computation where the user specifies encrypted inputs to an untrusted batch program controlled by an untrusted server. In batch computation, all data that the program might need is known at program start time. Encrypted computation on untrusted batch programs can be …

    mit Repository record for Ascend : an architecture for performing secure computation on encrypted data (opens in a new tab)

  3. Making Computation on Encrypted Data Practical through Hardware Acceleration of Fully Homomorphic Encryption

    Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due to its prohibitive overheads, about 10,000× over unencrypted computation. Hardware acceleration is an attractive …

    mit Repository record for Making Computation on Encrypted Data Practical through Hardware Acceleration of Fully Homomorphic Encryption (opens in a new tab)

  4. PFHE: partially homomorphic encryption on CNN inference

    Fully Homomorphic Encryption (FHE) enables secure computation on encrypted data, but its high computational overhead poses significant challenges for practical deep learning inference. In many application scenarios, high-resolution images may only contain a small portion of sensitive information. …

    uiuc Repository record for PFHE: partially homomorphic encryption on CNN inference (opens in a new tab)

  5. Domain-specific accelerators using optically-addressed phase change memory

    In recent years, the exponential growth in data generation and the increasing complexity of computational tasks have created a pressing need for more efficient computing solutions. To address this demand, researchers have developed domain-specific accelerators (DSAs) for various applications, …

    bu Repository record for Domain-specific accelerators using optically-addressed phase change memory (opens in a new tab)