@presentation {671524,
	title = {A programming framework for OpenDP},
	journal = {6th Workshop on the Theory and Practice of Differential Privacy (TPDP 2020)},
	year = {2020},
	abstract = {
	Version History:\&nbsp;Original version released\&nbsp;as a Working Paper for the May 2020 OpenDP\&nbsp;Community Meeting (version attached as MAY 2020.pdf, and accessible online at\&nbsp;https://projects.iq.harvard.edu/files/opendp/files/opendp_programming_framework_11may2020_1_01.pdf).\&nbsp;



	Talks:\&nbsp;View a talk on this paper presented by Marco Gaboardi and Michael Hay at the 2020 OpenDP Community Meeting.\&nbsp;



	Subsequently presented as a poster at TPDP 2020 (attached as TPDP2020.pdf).\&nbsp;



	In this working paper, we propose a programming framework for the library of differentially private algorithms that will be at the core of the OpenDP open-source software project, and recommend programming languages in which to implement the framework.

},
	url = {https://projects.iq.harvard.edu/files/opendp/files/opendp_programming_framework_11may2020_1_01.pdf},
	author = {Michael Hay and Marco Gaboardi and Salil Vadhan}
}
