Third-party Licenses


The web version uses Font Awesome Free icons in some places. The SIL OFL 1.1 License ( applies to all icons packaged as web and desktop font files. The MIT License ( applies to all non-font and non-icon files (e.g. CSS).


Words mentioned in this book that are known to be trademarks, whether registered or unregistered, have been capitalised or use initial capitals. Terms identified as trademarks include Cisco®, Microsoft®, Microsoft Windows®, Apple®, AirPort®, Mac®, Linksys®, Symantec®.


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Ablon, Lillian. 2018. “Data Thieves: The Motivations of Cyber Threat Actors and Their Use and Monetization of Stolen Data.” RAND Corporation.

Abowd, John. 2019. “Stepping-up: The Census Bureau Tries to Be a Good Data Steward in the 21st Century, Presentation at the Simons Institute for the Theory of Computing.”

Abowd, John, Robert Ashmead, Simson Garfinkel, Dan Kifer, Philip LeClerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, and Pavel Zhuravlev. 2019. “Census TopDown Algorithm: Differentially Private Data, Incremental Schemas, and Consistency with Public Knowledge,” October.

Abowd, John M., R. Kaj Gittings, Kevin L. McKinney, Bryce Stephens, Lars Vilhuber, and Simon D. Woodcock. 2012. “Dynamically Consistent Noise Infusion and Partially Synthetic Data as Confidentiality Protection Measures for Related Time Series.” 12-13. U.S. Census Bureau, Center for Economic Studies.

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Abowd, John M., and Ian M. Schmutte. 2019. “An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices.” American Economic Review 109 (1): 171–202.

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Alabi, Daniel, Audra McMillan, Jayshree Sarathy, Adam Smith, and Salil Vadhan. 2020. “Differentially Private Simple Linear Regression,” July.

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