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Secure computer evaluation of k-nearest neighbor models
Secure computer evaluation of k-nearest neighbor models
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机译:安全的k近邻模型计算机评估
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摘要
A user device and one or more server computers securely evaluate a k-nearest neighbor model, with reasonable computation speed and bandwidth utilization, using a combination of techniques. The user device encrypts input vectors using a client's public key to keep client information private. The server computer homomorphically computes a distance between the encrypted input vector and vectors stored in the k-nearest neighbor model. The server computer then engages in a minimization process which results in the user device receiving classification vectors corresponding to the k-nearest neighbors.
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