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<!DOCTYPE html>
<html lang="en">
<head>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script
async
src="https://www.googletagmanager.com/gtag/js?id=UA-167835952-1"
></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {
dataLayer.push(arguments);
}
gtag('js', new Date());
gtag('config', 'UA-167835952-1');
</script>
<!-- Required meta tags -->
<meta charset="utf-8" />
<meta
name="viewport"
content="width=device-width, initial-scale=1, shrink-to-fit=no"
/>
<title></title>
<meta property="og:title" content="WhiteNoise" />
<meta property="og:type" content="website" />
<meta
property="og:description"
content="An open source platform for differential privacy in machine learning and analytics"
/>
<meta property="og:image" content="images/whitenoise-meta-image.jpg" />
<meta
property="og:url"
content="https://opendifferentialprivacy.github.io/"
/>
<link
rel="shortcut icon"
type="images/x-icon"
href="images/whitenoise-favicon.ico"
/>
<!-- Bootstrap CSS -->
<link
rel="stylesheet"
href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css"
integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T"
crossorigin="anonymous"
/>
<link rel="stylesheet" type="text/css" href="css/style.css" />
</head>
<body>
<!-- Navigation -->
<nav class="navbar navbar-expand-lg fixed-top">
<div class="container pt-3 pb-3">
<button
class="navbar-toggler navbar-light"
type="button"
data-toggle="collapse"
data-target="#navbarResponsive"
aria-controls="navbarResponsive"
aria-expanded="false"
aria-label="Toggle navigation"
>
<span class="navbar-toggler-icon icon-bar"></span>
</button>
<div class="collapse navbar-collapse" id="navbarResponsive">
<ul class="navbar-nav ml-auto text-center">
<li class="nav-item pr-3">
<a class="nav-link" href="#differential-privacy"
>Differential Privacy</a
>
</li>
<li class="nav-item pr-3">
<a class="nav-link" href="#how-it-works">About</a>
</li>
<li class="nav-item pr-3">
<a class="nav-link" href="#contribute">Contribute</a>
</li>
<li>
<a
class="navbar-btn"
href="https://github.com/opendifferentialprivacy"
>GitHub</a
>
</li>
</ul>
</div>
</div>
</nav>
<!-- Navigation -->
<!-- Masthead -->
<div class="container-fluid masthead">
<div class="container">
<div
class="use-data row align-items-center pb-5 justify-content-md-center"
>
<div class="col-sm-12 col-md-8 col-lg-6 order-lg-1 text-center px-5">
<img class="img-fluid" src="images/main-graphic.png" alt="" />
</div>
<div class="col-sm-12 col-lg-6 order-lg-0">
<h1 class="text-center text-md-left">
Use Data.<br />Preserve Privacy.
</h1>
<h3 class="text-center text-md-left white pb-3">
A differential privacy toolkit for analytics and machine learning
</h3>
<p class="text-center text-md-left pb-4 alpha light">
This toolkit uses state-of-the-art differential privacy (DP) techniques
to inject noise into data, to prevent disclosure of sensitive information
and manage exposure risk.
<br>
<br>
<a href="https://projects.iq.harvard.edu/opendp/blog/building-inclusive-community">Please note that we are renaming the toolkit and will be introducing the new name in the coming weeks.</a>
</p>
<div class="row">
<div class="col-sm-12 text-center text-md-left">
<a
class="masthead-btn text-center"
href="https://github.com/opendifferentialprivacy/whitenoise-core"
>Get Started</a
>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Masthead -->
<!-- Masthead Cards -->
<div class="container-fluid header-cards header-card-container" id="about">
<div class="container">
<div class="row text-center justify-content-md-center pb-5">
<div class="col-12 col-lg-4 pb-4">
<div class="card h-100 header-card px-5 pb-3">
<div class="card-body">
<img
class="img-fluid mx-auto icons pb-4 icon-dark"
src="images/icon-01-purple.png"
alt=""
/>
<img
class="img-fluid mx-auto icons pb-4 icon-light"
src="images/icon-01-white.png"
alt=""
/>
<p class="card-text medium">
Based on the latest innovation in differential privacy
research and best practices from real-world applications
</p>
</div>
</div>
</div>
<div class="col-12 col-lg-4 pb-4">
<div class="card h-100 header-card px-5 pb-3">
<div class="card-body">
<img
class="img-fluid mx-auto icons pb-4 icon-dark"
src="images/icon-02-purple.png"
alt=""
/>
<img
class="img-fluid mx-auto icons pb-4 icon-light"
src="images/icon-02-white.png"
alt=""
/>
<p class="card-text medium">
Designed for both statistical analysis and machine learning
applications
</p>
</div>
</div>
</div>
<div class="col-12 col-lg-4 pb-4">
<div class="card h-100 header-card px-5 pb-3">
<div class="card-body">
<img
class="img-fluid mx-auto icons pb-4 icon-dark"
src="images/icon-03-purple.png"
alt=""
/>
<img
class="img-fluid mx-auto icons pb-4 icon-light"
src="images/icon-03-white.png"
alt=""
/>
<p class="card-text medium">
Open source framework to create and test new algorithms and
techniques.
</p>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Masthead Cards -->
<!-- Section 1 -->
<div class="container-fluid section-1 mb-4" id="differential-privacy">
<div class="container">
<div class="row justify-content-lg-center">
<div class="col-12 text-center mb-4">
<h2 class="pb-4 top">Why this toolkit?</h2>
</div>
<div
class="col-md-6 col-lg-6 my-auto text-center text-md-left order-2 order-md-1"
>
<h3 class="pb-3 bold">
Based on cutting-edge Differential Privacy algorithms
</h3>
<p class="medium">
Data scientists, analysts, scientific researchers and policy
makers often need to analyze data that contains sensitive personal
information that must remain private.
</p>
<p class="medium">
Commonly-used privacy techniques are limiting and can result in
leaks in sensitive information.
</p>
<p class="medium">
Differential Privacy is a technique that offers strong privacy
assurances, preventing data leaks and re-identification of
individuals in a dataset.
</p>
</div>
<div class="col-md-6 col-lg-4 pb-5 pb-md-0 order-md-2">
<img
class="img-fluid mx-auto white-noise-icon"
src="images/graphic-01.png"
alt=""
/>
</div>
<div class="col-sm-12 col-lg-4 text-center pt-3 pb-5 order-3">
<a
class="purple-btn mb-5"
href=" https://aka.ms/whitenoisewhitepaper"
>Learn More</a
>
<a
href="http://privacytools.seas.harvard.edu/files/privacytools/files/pedagogical-document-dp_0.pdf"
><p class="text-link">Theory Behind Differential Privacy</p></a
>
</div>
</div>
</div>
</div>
<!-- Section 1 -->
<!-- Section 2 -->
<div class="container-fluid section-2 gradient-2 pb-4">
<div class="container">
<div class="row justify-content-center">
<div class="col-12 col-md-5 pb-5">
<div class="dark-card h-100 px-5 py-4">
<img
class="img-fluid mx-auto mx-lg-0 native-runtime-library-icons mb-4 icon-white"
src="images/icon-6.png"
alt=""
/>
<img
class="img-fluid mx-auto mx-lg-0 native-runtime-library-icons mb-4 icon-purple"
src="images/icon-6-dark.png"
alt=""
/>
<h5 class="text-center text-lg-left pb-2 card-text">
Flexible native runtime
</h5>
<p class="text-center text-lg-left card-bullet">
A native runtime library to generate and validate differential
privacy results that can be used with C, C++, Python, R, and
other languages.
</p>
</div>
</div>
<div class="col-12 col-md-5 pb-5">
<div class="dark-card h-100 px-5 py-4">
<img
class="img-fluid mx-auto mx-lg-0 native-runtime-library-icons mb-4 icon-white"
src="images/icon-7.png"
alt=""
/>
<img
class="img-fluid mx-auto mx-lg-0 native-runtime-library-icons mb-4 icon-purple"
src="images/icon-7-dark.png"
alt=""
/>
<h5 class="text-center text-lg-left pb-2 card-text">
Built-in Connectivity to Data Sources
</h5>
<p class="text-center text-lg-left card-text card-bullet">
Access data from Data Lakes, SQL Server, Postgres, Apache Spark,
Apache Presto, and CSV files.
</p>
</div>
</div>
<div class="w-100"></div>
<div class="col-12 col-md-5 pb-5">
<div class="dark-card h-100 px-5 py-4">
<img
class="img-fluid mx-auto mx-lg-0 native-runtime-library-icons mb-4 icon-white"
src="images/icon-8.png"
alt=""
/>
<img
class="img-fluid mx-auto mx-lg-0 native-runtime-library-icons mb-4 icon-purple"
src="images/icon-8-dark.png"
alt=""
/>
<h5 class="text-center text-lg-left pb-2 card-text">
Granular Privacy Risk Controls
</h5>
<p class="text-center text-lg-left card-text card-bullet">
Track privacy risk by managing multiple requests on data. Use
privacy budgets to control the number of queries permitted by
different users.
</p>
</div>
</div>
<div class="col-12 col-md-5 pb-5">
<div class="dark-card h-100 px-5 py-4">
<img
class="img-fluid mx-auto mx-lg-0 native-runtime-library-icons mb-4 icon-white"
src="images/icon-9.png"
alt=""
/>
<img
class="img-fluid mx-auto mx-lg-0 native-runtime-library-icons mb-4 icon-purple"
src="images/icon-9-dark.png"
alt=""
/>
<h5 class="text-center text-lg-left pb-2 card-text">
Privacy Loss Tester
</h5>
<p class="text-center text-lg-left card-text card-bullet">
An evaluator to automatically stress test existing differential
privacy algorithms.
</p>
</div>
</div>
</div>
</div>
</div>
<!-- Section 2 -->
<!-- Section 3 -->
<div class="container-fluid section-3 pt-5" id="how-it-works">
<div class="container">
<div class="row justify-content-lg-center">
<div class="col-12 text-center">
<h2 class="pb-3 top pt-5">How It Works</h2>
<p class="medium">
This Toolkit is designed to be a layer between queries and data
systems to protect sensitive data.
</p>
</div>
</div>
<div class="row justify-content-lg-center">
<div class="col-12 col-lg-6 text-center">
<img
class="img-fluid mx-auto mb-4"
src="images/how-it-works-diagram.png"
alt=""
/>
</div>
<div class="col-12 col-lg-6 text-center noise-02">
<img class="img-fluid" src="images/noise-02.png" alt="" />
</div>
<div class="col-12 text-center">
<p class="medium pb-4 pt-3">
When a user queries the data or trains a model, the
system:
</p>
</div>
</div>
<div class="row justify-content-lg-center">
<div class="col-12 col-lg-3 pb-4">
<div class="card h-100 header-card">
<div class="card-body">
<img
class="img-fluid mx-auto white-noise-icons mb-3 mt-2 icon-dark"
src="images/number-01.png"
alt=""
/>
<img
class="img-fluid mx-auto white-noise-icons mb-3 mt-2 icon-light"
src="images/number-01-light.png"
alt=""
/>
<p class="text-center card-text px-3 medium">
Adds statistical noise to the results,
</p>
</div>
</div>
</div>
<div class="col-12 col-lg-3 pb-4">
<div class="card h-100 header-card">
<div class="card-body">
<img
class="img-fluid mx-auto white-noise-icons mb-3 mt-2 icon-dark"
src="images/number-02.png"
alt=""
/>
<img
class="img-fluid mx-auto white-noise-icons mb-3 mt-2 icon-light"
src="images/number-02-light.png"
alt=""
/>
<p class="text-center card-text px-3 medium">
Calculates the privacy risk metric or information budget, used
by the query,
</p>
</div>
</div>
</div>
<div class="col-12 col-lg-3 pb-4">
<div class="card h-100 header-card">
<div class="card-body">
<img
class="img-fluid mx-auto white-noise-icons mb-3 mt-2 icon-dark"
src="images/number-03.png"
alt=""
/>
<img
class="img-fluid mx-auto white-noise-icons mb-3 mt-2 icon-light"
src="images/number-03-light.png"
alt=""
/>
<p class="text-center card-text px-3 medium">
Subtracts from the remaining budget to limit further queries.
</p>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Section 3 -->
<!-- Section 4 -->
<div class="container-fluid section-4">
<div class="container">
<div class="row justify-content-lg-center pb-3">
<div class="col-sm-12 col-lg-5 text-center mb-4">
<h2>Applications</h2>
</div>
</div>
<div class="row justify-content-lg-center preserving-privacy-1">
<div class="col-md-6 col-lg-7 order-md-2 pb-5 pb-md-0">
<img
class="img-fluid mx-auto dashboard-desktop"
src="images/dashboard-03.png"
alt=""
/>
<img
class="img-fluid mx-auto dashboard-mobile"
src="images/dashboard-03-mobile.png"
alt=""
/>
</div>
<div class="col-md-6 col-lg-4 offset-lg-1 order-md-1 pr-md-5">
<h4 class="text-center text-lg-left pb-2">
Differential Privacy for Statistical Analysis
</h4>
<li class="img-fluid check-icon pb-3 dark">
In-built support for commonly used mathematical and statistical
operators
</li>
<li class="img-fluid check-icon pb-4 dark">
Use cases span healthcare, sensitive socio-economic data and more
</li>
<div class="text-center text-md-left">
<a
class="masthead-btn text-center"
href="https://github.com/opendifferentialprivacy/whitenoise-samples/blob/master/README.md"
>Examples</a
>
</div>
</div>
</div>
<div class="row justify-content-lg-center preserving-privacy-2">
<div class="col-md-6 col-lg-7 pb-5 pb-md-0">
<img
class="img-fluid mx-auto dashboard-desktop"
src="images/dashboard-04.png"
alt=""
/>
<img
class="img-fluid mx-auto dashboard-mobile"
src="images/dashboard-04-mobile.png"
alt=""
/>
</div>
<div class="col-md-6 col-lg-4 pl-md-5">
<h4 class="text-center text-lg-left">
Differential Privacy in Machine Learning
</h4>
<li class="img-fluid check-icon pb-3 dark">
Built-in support for training simple machine learning models like
linear and logistic regression
</li>
<li class="img-fluid check-icon pb-4 dark">
Compatible with open-source training libraries such TensorFlow
Privacy
</li>
<div class="text-center text-md-left">
<a
class="masthead-btn text-center"
href="https://github.com/opendifferentialprivacy/whitenoise-samples/blob/master/README.md"
>Examples</a
>
</div>
</div>
</div>
</div>
</div>
<!-- Section 4 -->
<!-- Section 5 -->
<div class="container-fluid gradient-purple section-5" id="getting-started">
<div class="container">
<div class="row justify-content-lg-center">
<div class="col-sm-12 col-lg-4 text-center">
<h1 class="pb-3">Getting Started</h1>
<p class="pb-3">Build and deploy easily with the Differential Privacy toolkit!</p>
<a
class="white-btn"
href="https://github.com/opendifferentialprivacy/whitenoise-core"
>Install the toolkit</a
>
</div>
</div>
</div>
</div>
<!-- Section 5 -->
<!-- Section 6 -->
<div class="container-fluid section-6" id="contribute">
<div class="container inner-box">
<div class="row justify-content-lg-center pb-5 pt-5">
<div class="col-sm-12 col-lg-6 text-center mb-5">
<h2 class="pb-4">Contribute</h2>
<p class="medium pb-4">
As a community project we encourage you to join the effort
and contribute feedback, algorithms, ideas and more, so we can evolve the toolkit together!
</p>
<a
class="purple-btn mb-2"
href="https://github.com/opendifferentialprivacy/whitenoise-system/blob/master/contributing.rst"
>Contribute</a
>
</div>
</div>
</div>
</div>
<!-- Section 6 -->
<!-- Section 7 -->
<div class="container-fluid section-7 mb-5">
<div class="container">
<div class="row justify-content-center">
<div class="col-12 text-center">
<h2 class="pb-5">Key Contributors</h2>
</div>
<div class="col-7 col-md-2 my-auto text-center logo-1 pb-5">
<img class="img-fluid mx-auto" src="images/logo-01.png" alt="" />
</div>
<div class="col-7 col-md-2 my-auto text-center logo-2 pb-5">
<img class="img-fluid mx-auto" src="images/logo-02.png" alt="" />
</div>
<div class="col-7 col-md-2 my-auto text-center logo-3 pb-5">
<img class="img-fluid mx-auto" src="images/logo-03.png" alt="" />
</div>
</div>
<div class="row justify-content-center">
<div class="col-12 text-center">
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