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articles/machine-learning/how-to-homomorphic-encryption-seal.md

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---
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title: Deploy an encrypted image classification service
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title: Deploy an encrypted inferencing service
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titleSuffix: Azure Machine Learning
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description: Learn how to use Microsoft SEAL to deploy an encrypted prediction service for image classification
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author: luisquintanilla
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ms.author: luquinta
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ms.date: 05/17/2020
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ms.date: 05/18/2020
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: core
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ms.topic: conceptual
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#intent: As a data scientist, I want to deploy a service that uses homomorphic encryption to make predictions on encrypted image data
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#intent: As a data scientist, I want to deploy a service that uses homomorphic encryption to make predictions on encrypted data
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---
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# How to deploy an encrypted image classification service
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# How to deploy an encrypted inferencing web service
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Learn how to deploy an image classification model as an encrypted inferencing web service in [Azure Container Instances](https://docs.microsoft.com/azure/container-instances/) (ACI). The web service is a Docker container image that contains the model and scoring logic.
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In guide, you use Azure Machine Learning service to:
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In this guide, you use Azure Machine Learning service to:
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> [!div class="checklist"]
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> * Configure your environments
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ACI is a great solution for testing and understanding the model deployment workflow. For scalable production deployments, consider using Azure Kubernetes Service. For more information, see [how to deploy and where](https://docs.microsoft.com/azure/machine-learning/service/how-to-deploy-and-where).
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The encryption method used in this sample is homomorphic encryption (HE). Homomorphic encryption allows for computations to be done on encrypted data without requiring access to a secret (decryption) key. The results of the computations are encrypted and can be revealed only by the owner of the secret key.
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The encryption method used in this sample is homomorphic encryption (HE). Homomorphic encryption allows for computations to be done on encrypted data without requiring access to a secret (decryption) key. The results of the computations are encrypted and can be revealed only by the owner of the secret key.
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## Prerequisites
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