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‎articles/machine-learning/how-to-differential-privacy.md

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---
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title: How to preserve data privacy using the SmartNoise packages (preview)
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title: Differential privacy how-to - SmartNoise (preview)
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titleSuffix: Azure Machine Learning
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description: Learn how to apply differential privacy best practices to Azure Machine Learning models by using the SmartNoise packages.
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description: Learn how to apply differential privacy best practices to Azure Machine Learning models by using the SmartNoise open-source libraries.
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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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# Use differential privacy in Azure Machine Learning (preview)
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Learn how to apply differential privacy best practices to Azure Machine Learning models by using the SmartNoise Python packages.
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Learn how to apply differential privacy best practices to Azure Machine Learning models by using the SmartNoise Python open-source libraries.
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Differential privacy is the gold-standard definition of privacy. Systems that adhere to this definition of privacy provide strong assurances against a wide range of data reconstruction and reidentification attacks, including attacks by adversaries who possess auxiliary information. Learn more about how [differential privacy works](./concept-differential-privacy.md).
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Differential privacy is the gold-standard definition of privacy. Systems that adhere to this definition of privacy provide strong assurances against a wide range of data reconstruction and reidentification attacks, including attacks by adversaries who possess auxiliary information. Learn more about [how differential privacy works](./concept-differential-privacy.md).
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## Prerequisites
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- If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
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- [Python 3](https://www.python.org/downloads/)
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## Install SmartNoise packages
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## Install SmartNoise Python libraries
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### Standalone installation
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If the imports succeed, the libraries are installed and ready to use.
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### Docker image
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### Docker image installation
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You can also use SmartNoise packages with Docker.
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