%0 Book Section %1 noKey %A Dixit, Kashyap %A Jha, Madhav %A Raskhodnikova, Sofya %A Thakurta, Abhradeep %B Theory of Cryptography %D 2013 %E Sahai, Amit %I Springer Berlin Heidelberg %K differential_privacy lipschitz %P 418-436 %R 10.1007/978-3-642-36594-2_24 %T Testing the Lipschitz Property over Product Distributions with Applications to Data Privacy %V 7785 %X In the past few years, the focus of research in the area of statistical data privacy has been in designing algorithms for various problems which satisfy some rigorous notions of privacy. However, not much effort has gone into designing techniques to computationally verify if a given algorithm satisfies some predefined notion of privacy. In this work, we address the following question: %@ 978-3-642-36593-5

@incollection{noKey, abstract = {In the past few years, the focus of research in the area of statistical data privacy has been in designing algorithms for various problems which satisfy some rigorous notions of privacy. However, not much effort has gone into designing techniques to computationally verify if a given algorithm satisfies some predefined notion of privacy. In this work, we address the following question: }, added-at = {2013-06-04T22:10:26.000+0200}, author = {Dixit, Kashyap and Jha, Madhav and Raskhodnikova, Sofya and Thakurta, Abhradeep}, biburl = {https://www.bibsonomy.org/bibtex/2548aa1a1bcd653c6e46f769917a82279/ytyoun}, booktitle = {Theory of Cryptography}, doi = {10.1007/978-3-642-36594-2_24}, editor = {Sahai, Amit}, interhash = {9536bd3e2b7073bae3aeae06aaad0204}, intrahash = {548aa1a1bcd653c6e46f769917a82279}, isbn = {978-3-642-36593-5}, keywords = {differential_privacy lipschitz}, pages = {418-436}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2013-06-04T22:10:27.000+0200}, title = {Testing the Lipschitz Property over Product Distributions with Applications to Data Privacy}, volume = 7785, year = 2013 }