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Showing 1 to 3 of 3 for “"CNN Inference"”.

  1. PFHE: partially homomorphic encryption on CNN inference

    … challenges for practical deep learning inference. In many application scenarios, high-resolution images may only contain a small portion of sensitive information. We noticed that none of the previous works consider this, so in this work, we propose a new framework that accelerates …

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

  2. Efficient inference of convolutional neural networks on general purpose hardware using weight repetition

    … weight repetition can be harnessed improve DNN inference efficiency in an accelerator/ASIC context. This thesis develops new techniques so that weight repetition leads to an efficiency gain on general-purpose and programmable SIMD-based architectures such as CPUs equipped with vector extensions. …

    uiuc Repository record for Efficient inference of convolutional neural networks on general purpose hardware using weight repetition (opens in a new tab)