论文学习心得 DELPHI: A Cryptographic Inference Service for Neural Networks
论文学习笔记 DELPHI: A Cryptographic Inference Service for Neural Networks 背景 介绍 出发点 系统概括 预处理阶段 在线阶段 DELPHI 规划器 背景 许多公司为用户提供神经网络预测服务，比如说，家庭监控系统，使用专有的神经网络对客户家中的监控视频中的对象进行分类，例如停在用户家附近的汽车，或访客的人脸。但是，当前的预测系统损害了用
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相关文章
- 1. Perturbative Neural Networks学习心得
- 2. Pruning Convolutional Neural Networks For Resource Efficient Inference
- 3. 论文阅读——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 4. Pruning convolutional neural networks for resource efficent inference
- 5. 论文总结：Quantizing deep convolutional networks for efficient inference: A whitepaper
- 6. 论文笔记：Quantizing deep convolutional networks for efficient inference: A whitepaper
- 7. [deep compression] compressing deep neural networks 论文学习
- 8. A Critical Review of Recurrent Neural Networks for Sequence Learning
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- 10. Deep Neural Networks for Object Detection论文翻译