diff --git a/index.html b/index.html index a5231d5..69aa039 100644 --- a/index.html +++ b/index.html @@ -211,6 +211,50 @@
Author: Salil Vadhan, James Honaker, Wanrong Z + + +
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    Managing confidential data
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    Author: Micah Altman
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    + Differential privacy is part of a larger discussion on the use of confidential data in research, emphasizing the importance of protecting privacy and confidentiality due to ethical, legal, and practical implications. It outlines strategies for data management, challenges with traditional approaches, and discusses relevant laws and policies. +

    + + Course Notes + +
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    Differential Privacy in CDFs
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    Author: Daniel Muise, Kobbi Nissim
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    + "The ultimate aim of this presentation is to familiarize social scientists with the errors introduced by differential privacy (DP), and to explain how to manage DP’s random noise." +

    + + Course Notes + +
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    + +
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    + + + @@ -219,7 +263,7 @@
    Author: Salil Vadhan, James Honaker, Wanrong Z
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    Books & Articles

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    Books

    @@ -297,6 +341,48 @@
    Author: Ethan Cowan, Michael Shoemate, Mayana + + +
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    Programming Differential Privacy
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    Author: Joseph P. Near and Chiké Abuah
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    + Uses examples and Python code to explain the ideas behind differential privacy. The book is suitable for undergraduate students in computer science, and no theory background is expected. +

    + + Coders + +
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    Articles

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    + @@ -474,5 +602,45 @@
    Author: Chuck McCallum
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    Resources

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    + diff --git a/resources.yml b/resources.yml index 56f758d..df26319 100644 --- a/resources.yml +++ b/resources.yml @@ -27,6 +27,7 @@ Blog Series: - Somewhat Technical - Blog Posts link: https://www.nist.gov/itl/applied-cybersecurity/privacy-engineering/collaboration-space/blog-series/differential-privacy + Courses: - title: CS 860 - Algorithms for Private Data Analysis author: Gautam Kamath @@ -68,7 +69,25 @@ Courses: - Technical - Course Notes link: https://opendp.github.io/cs208/ -Books & Articles: +- title: Managing confidential data + author: Micah Altman + description: Differential privacy is part of a larger discussion on the use of confidential data in research, + emphasizing the importance of protecting privacy and confidentiality due to ethical, + legal, and practical implications. It outlines strategies for data management, + challenges with traditional approaches, and discusses relevant laws and policies. + badges: + - Course Notes + link: https://www.slideshare.net/slideshow/altman-confidentialdata-v22mit/21164359#25 +- title: Differential Privacy in CDFs + author: Daniel Muise, Kobbi Nissim + description: '"The ultimate aim of this presentation is to familiarize + social scientists with the errors introduced by differential + privacy (DP), and to explain how to manage DP’s + random noise."' + badges: + - Course Notes + +Books: - title: Differential Privacy (The MIT Press Essential Knowledge series) author: Simson L. Garfinkel description: '"A robust yet accessible introduction to the idea, history, and key @@ -95,6 +114,16 @@ Books & Articles: privacy into workflows. badges: - Coders +- title: Programming Differential Privacy + author: Joseph P. Near and Chiké Abuah + link: https://programming-dp.com/ + description: Uses examples and Python code + to explain the ideas behind differential privacy. The book is suitable for + undergraduate students in computer science, and no theory background is expected. + badges: + - Coders + +Articles: - title: Designing Access with Differential Privacy author: Alexandra Wood, Micah Altman, Kobbi Nissim, Salil Vadhan link: https://admindatahandbook.mit.edu/book/v1.0/diffpriv.html @@ -119,6 +148,18 @@ Books & Articles: research on differential privacy. badges: - Technical +- title: 'Privacy by the Numbers: A New Approach to Safeguarding Data' + author: Erica Klarreich + link: https://www.scientificamerican.com/article/privacy-by-the-numbers-a-new-approach-to-safeguarding-data/ + description: A mathematical technique called “differential privacy” gives researchers + access to vast repositories of personal data while meeting a high standard for privacy protection. + badges: + - Non-technical +- title: A firm foundation for Private Data analysis + author: Cynthia Dwork + link: https://dl.acm.org/doi/epdf/10.1145/1866739.1866758 + description: A review article in the Communications of the ACM from 2011. + Tutorials: - title: Tumult Analytics tutorials author: Tumult Labs @@ -145,4 +186,10 @@ Tutorials: description: A slideshow with classroom exercises to introduce a non-technical audience to DP, by way of DP Wizard. badges: - - Non-technical \ No newline at end of file + - Non-technical + +Resources: +- title: Differential Privacy Deployments Registry + link: https://registry.opendp.org/deployments-registry/ + description: '"This registry is a collaborative resource for information about real-world differential privacy deployments."' + badges: [] \ No newline at end of file