Differential privacy (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Differential privacy" in English language version.

refsWebsite

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16doi.org

2^nd place

11semanticscholar.org

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6microsoft.com

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3springer.com

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3arxiv.org

69^th place

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2acm.org

1,185^th place

840^th place

2github.com

383^rd place

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1journalprivacyconfidentiality.org

low place

1web.archive.org

1^st place

1upenn.edu

702^nd place

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1mlr.press

low place

1jstor.org

26^th place

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1nih.gov

4^th place

1handle.net

102^nd place

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1iacr.org

5,032^nd place

3,357^th place

1eatcs.org

low place

1googleblog.com

1,272^nd place

837^th place

1apple.com

67^th place

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1harvard.edu

18^th place

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1cambridge.org

305^th place

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1worldcat.org

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1census.gov

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1belfercenter.org

low place

1illinois.edu

1,349^th place

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acm.org

dl.acm.org

Dorothy E. Denning; Peter J. Denning; Mayer D. Schwartz (March 1979). "The Tracker: A Threat to Statistical Database Security". ACM Transactions on Database Systems. 4 (1): 76–96. doi:10.1145/320064.320069. S2CID 207655625.
Erlingsson, Úlfar; Pihur, Vasyl; Korolova, Aleksandra (2014). "RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response". Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. pp. 1054–1067. arXiv:1407.6981. doi:10.1145/2660267.2660348. ISBN 978-1-4503-2957-6.

apple.com

"Apple – Press Info – Apple Previews iOS 10, the Biggest iOS Release Ever". Apple. Retrieved 20 June 2023.

arxiv.org

Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin Rubinstein. Robust and Private Bayesian Inference. Algorithmic Learning Theory 2014
Erlingsson, Úlfar; Pihur, Vasyl; Korolova, Aleksandra (2014). "RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response". Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. pp. 1054–1067. arXiv:1407.6981. doi:10.1145/2660267.2660348. ISBN 978-1-4503-2957-6.
Lyu, Min; Su, Dong; Li, Ninghui (1 February 2017). "Understanding the sparse vector technique for differential privacy". Proceedings of the VLDB Endowment. 10 (6): 637–648. arXiv:1603.01699. doi:10.14778/3055330.3055331. S2CID 5449336.

belfercenter.org

"Technology Factsheet: Differential Privacy". Belfer Center for Science and International Affairs. Retrieved 2021-04-12.

cambridge.org

Evans, Georgina; King, Gary (January 2023). "Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset". Political Analysis. 31 (1): 1–21. doi:10.1017/pan.2022.1. ISSN 1047-1987. S2CID 211137209.

census.gov

"Disclosure Avoidance for the 2020 Census: An Introduction". 2 November 2021.

doi.org

Dwork, Cynthia (2008-04-25). "Differential Privacy: A Survey of Results". In Agrawal, Manindra; Du, Dingzhu; Duan, Zhenhua; Li, Angsheng (eds.). Theory and Applications of Models of Computation. Lecture Notes in Computer Science. Vol. 4978. Springer Berlin Heidelberg. pp. 1–19. doi:10.1007/978-3-540-79228-4_1. ISBN 978-3-540-79227-7. S2CID 2887752.
Calibrating Noise to Sensitivity in Private Data Analysis by Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith. In Theory of Cryptography Conference (TCC), Springer, 2006. doi:10.1007/11681878_14. The full version appears in Journal of Privacy and Confidentiality, 7 (3), 17-51. doi:10.29012/jpc.v7i3.405
Dwork, Cynthia (2008). "Differential Privacy: A Survey of Results". In Agrawal, Manindra; Du, Dingzhu; Duan, Zhenhua; Li, Angsheng (eds.). Theory and Applications of Models of Computation. Lecture Notes in Computer Science. Vol. 4978. Berlin, Heidelberg: Springer. pp. 1–19. doi:10.1007/978-3-540-79228-4_1. ISBN 978-3-540-79228-4.
The Algorithmic Foundations of Differential Privacy by Cynthia Dwork and Aaron Roth. Foundations and Trends in Theoretical Computer Science. Vol. 9, no. 3–4, pp. 211‐407, Aug. 2014. doi:10.1561/0400000042
Privacy integrated queries: an extensible platform for privacy-preserving data analysis by Frank D. McSherry. In Proceedings of the 35th SIGMOD International Conference on Management of Data (SIGMOD), 2009. doi:10.1145/1559845.1559850
Differential Privacy by Cynthia Dwork, International Colloquium on Automata, Languages and Programming (ICALP) 2006, p. 1–12. doi:10.1007/11787006_1
Warner, S. L. (March 1965). "Randomised response: a survey technique for eliminating evasive answer bias". Journal of the American Statistical Association. 60 (309). Taylor & Francis: 63–69. doi:10.1080/01621459.1965.10480775. JSTOR 2283137. PMID 12261830. S2CID 35435339.
Dwork, Cynthia (2006). "Differential Privacy". In Bugliesi, Michele; Preneel, Bart; Sassone, Vladimiro; Wegener, Ingo (eds.). Automata, Languages and Programming. Lecture Notes in Computer Science. Vol. 4052. Berlin, Heidelberg: Springer. pp. 1–12. doi:10.1007/11787006_1. ISBN 978-3-540-35908-1.
Dorothy E. Denning; Peter J. Denning; Mayer D. Schwartz (March 1979). "The Tracker: A Threat to Statistical Database Security". ACM Transactions on Database Systems. 4 (1): 76–96. doi:10.1145/320064.320069. S2CID 207655625.
Irit Dinur and Kobbi Nissim. 2003. Revealing information while preserving privacy. In Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems (PODS '03). ACM, New York, NY, USA, 202–210. doi:10.1145/773153.773173
Erlingsson, Úlfar; Pihur, Vasyl; Korolova, Aleksandra (2014). "RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response". Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. pp. 1054–1067. arXiv:1407.6981. doi:10.1145/2660267.2660348. ISBN 978-1-4503-2957-6.
Messing, Solomon; DeGregorio, Christina; Hillenbrand, Bennett; King, Gary; Mahanti, Saurav; Mukerjee, Zagreb; Nayak, Chaya; Persily, Nate; State, Bogdan (2020), "Social Sciences", Facebook Privacy-Protected Full URLs Data Set, Zagreb Mukerjee, Harvard Dataverse, doi:10.7910/dvn/tdoapg, retrieved 2023-02-08
Evans, Georgina; King, Gary (January 2023). "Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset". Political Analysis. 31 (1): 1–21. doi:10.1017/pan.2022.1. ISSN 1047-1987. S2CID 211137209.
Lyu, Min; Su, Dong; Li, Ninghui (1 February 2017). "Understanding the sparse vector technique for differential privacy". Proceedings of the VLDB Endowment. 10 (6): 637–648. arXiv:1603.01699. doi:10.14778/3055330.3055331. S2CID 5449336.
Mironov, Ilya (October 2012). "On significance of the least significant bits for differential privacy". Proceedings of the 2012 ACM conference on Computer and communications security (PDF). ACM. pp. 650–661. doi:10.1145/2382196.2382264. ISBN 9781450316514. S2CID 3421585.
Andrysco, Marc; Kohlbrenner, David; Mowery, Keaton; Jhala, Ranjit; Lerner, Sorin; Shacham, Hovav (May 2015). "On Subnormal Floating Point and Abnormal Timing". 2015 IEEE Symposium on Security and Privacy. pp. 623–639. doi:10.1109/SP.2015.44. ISBN 978-1-4673-6949-7. S2CID 1903469.

eatcs.org

Chita, Efi. "2017 Gödel Prize". EATCS.

github.com

google/rappor, GitHub, 2021-07-15
McSherry, Frank (25 February 2018). "Uber's differential privacy .. probably isn't". GitHub.

googleblog.com

europe.googleblog.com

Tackling Urban Mobility with Technology by Andrew Eland. Google Policy Europe Blog, Nov 18, 2015.

handle.net

hdl.handle.net

Tore Dalenius (1977). "Towards a methodology for statistical disclosure control". Statistik Tidskrift. 15. hdl:1813/111303.

harvard.edu

dataverse.harvard.edu

Messing, Solomon; DeGregorio, Christina; Hillenbrand, Bennett; King, Gary; Mahanti, Saurav; Mukerjee, Zagreb; Nayak, Chaya; Persily, Nate; State, Bogdan (2020), "Social Sciences", Facebook Privacy-Protected Full URLs Data Set, Zagreb Mukerjee, Harvard Dataverse, doi:10.7910/dvn/tdoapg, retrieved 2023-02-08

iacr.org

"TCC Test-of-Time Award".

illinois.edu

charm.cs.illinois.edu

Dooley, Isaac; Kale, Laxmikant (September 2006). "Quantifying the interference caused by subnormal floating-point values" (PDF). Proceedings of the Workshop on Operating System Interference in High Performance Applications.

journalprivacyconfidentiality.org

Calibrating Noise to Sensitivity in Private Data Analysis by Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith. In Theory of Cryptography Conference (TCC), Springer, 2006. doi:10.1007/11681878_14. The full version appears in Journal of Privacy and Confidentiality, 7 (3), 17-51. doi:10.29012/jpc.v7i3.405

jstor.org

Warner, S. L. (March 1965). "Randomised response: a survey technique for eliminating evasive answer bias". Journal of the American Statistical Association. 60 (309). Taylor & Francis: 63–69. doi:10.1080/01621459.1965.10480775. JSTOR 2283137. PMID 12261830. S2CID 35435339.

microsoft.com

Dwork, Cynthia (2008-04-25). "Differential Privacy: A Survey of Results". In Agrawal, Manindra; Du, Dingzhu; Duan, Zhenhua; Li, Angsheng (eds.). Theory and Applications of Models of Computation. Lecture Notes in Computer Science. Vol. 4978. Springer Berlin Heidelberg. pp. 1–19. doi:10.1007/978-3-540-79228-4_1. ISBN 978-3-540-79227-7. S2CID 2887752.
Collecting telemetry data privately by Bolin Ding, Jana Kulkarni, Sergey Yekhanin. NIPS 2017.
Mironov, Ilya (October 2012). "On significance of the least significant bits for differential privacy". Proceedings of the 2012 ACM conference on Computer and communications security (PDF). ACM. pp. 650–661. doi:10.1145/2382196.2382264. ISBN 9781450316514. S2CID 3421585.

research.microsoft.com

Privacy integrated queries: an extensible platform for privacy-preserving data analysis by Frank D. McSherry. In Proceedings of the 35th SIGMOD International Conference on Management of Data (SIGMOD), 2009. doi:10.1145/1559845.1559850
Differential Privacy by Cynthia Dwork, International Colloquium on Automata, Languages and Programming (ICALP) 2006, p. 1–12. doi:10.1007/11787006_1
F.McSherry and K.Talwar. Mechasim Design via Differential Privacy. Proceedings of the 48th Annual Symposium of Foundations of Computer Science, 2007.

mlr.press

proceedings.mlr.press

Kairouz, Peter, Sewoong Oh, and Pramod Viswanath. "The composition theorem for differential privacy." International conference on machine learning. PMLR, 2015.link

nih.gov

pubmed.ncbi.nlm.nih.gov

Warner, S. L. (March 1965). "Randomised response: a survey technique for eliminating evasive answer bias". Journal of the American Statistical Association. 60 (309). Taylor & Francis: 63–69. doi:10.1080/01621459.1965.10480775. JSTOR 2283137. PMID 12261830. S2CID 35435339.

semanticscholar.org

api.semanticscholar.org

Hilton, M; Cal (2012). "Differential Privacy: A Historical Survey". Semantic Scholar. S2CID 16861132. Retrieved 31 December 2023.
Dwork, Cynthia (2008-04-25). "Differential Privacy: A Survey of Results". In Agrawal, Manindra; Du, Dingzhu; Duan, Zhenhua; Li, Angsheng (eds.). Theory and Applications of Models of Computation. Lecture Notes in Computer Science. Vol. 4978. Springer Berlin Heidelberg. pp. 1–19. doi:10.1007/978-3-540-79228-4_1. ISBN 978-3-540-79227-7. S2CID 2887752.
HILTON, MICHAEL. "Differential Privacy: A Historical Survey" (PDF). S2CID 16861132. Archived from the original (PDF) on 2017-03-01. {{cite journal}}: Cite journal requires |journal= (help)
Warner, S. L. (March 1965). "Randomised response: a survey technique for eliminating evasive answer bias". Journal of the American Statistical Association. 60 (309). Taylor & Francis: 63–69. doi:10.1080/01621459.1965.10480775. JSTOR 2283137. PMID 12261830. S2CID 35435339.
Dorothy E. Denning; Peter J. Denning; Mayer D. Schwartz (March 1979). "The Tracker: A Threat to Statistical Database Security". ACM Transactions on Database Systems. 4 (1): 76–96. doi:10.1145/320064.320069. S2CID 207655625.
Evans, Georgina; King, Gary (January 2023). "Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset". Political Analysis. 31 (1): 1–21. doi:10.1017/pan.2022.1. ISSN 1047-1987. S2CID 211137209.
Lyu, Min; Su, Dong; Li, Ninghui (1 February 2017). "Understanding the sparse vector technique for differential privacy". Proceedings of the VLDB Endowment. 10 (6): 637–648. arXiv:1603.01699. doi:10.14778/3055330.3055331. S2CID 5449336.
Mironov, Ilya (October 2012). "On significance of the least significant bits for differential privacy". Proceedings of the 2012 ACM conference on Computer and communications security (PDF). ACM. pp. 650–661. doi:10.1145/2382196.2382264. ISBN 9781450316514. S2CID 3421585.
Andrysco, Marc; Kohlbrenner, David; Mowery, Keaton; Jhala, Ranjit; Lerner, Sorin; Shacham, Hovav (May 2015). "On Subnormal Floating Point and Abnormal Timing". 2015 IEEE Symposium on Security and Privacy. pp. 623–639. doi:10.1109/SP.2015.44. ISBN 978-1-4673-6949-7. S2CID 1903469.

semanticscholar.org

Hilton, M; Cal (2012). "Differential Privacy: A Historical Survey". Semantic Scholar. S2CID 16861132. Retrieved 31 December 2023.

pdfs.semanticscholar.org

HILTON, MICHAEL. "Differential Privacy: A Historical Survey" (PDF). S2CID 16861132. Archived from the original (PDF) on 2017-03-01. {{cite journal}}: Cite journal requires |journal= (help)

springer.com

link.springer.com

Calibrating Noise to Sensitivity in Private Data Analysis by Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith. In Theory of Cryptography Conference (TCC), Springer, 2006. doi:10.1007/11681878_14. The full version appears in Journal of Privacy and Confidentiality, 7 (3), 17-51. doi:10.29012/jpc.v7i3.405
Dwork, Cynthia (2008). "Differential Privacy: A Survey of Results". In Agrawal, Manindra; Du, Dingzhu; Duan, Zhenhua; Li, Angsheng (eds.). Theory and Applications of Models of Computation. Lecture Notes in Computer Science. Vol. 4978. Berlin, Heidelberg: Springer. pp. 1–19. doi:10.1007/978-3-540-79228-4_1. ISBN 978-3-540-79228-4.
Dwork, Cynthia (2006). "Differential Privacy". In Bugliesi, Michele; Preneel, Bart; Sassone, Vladimiro; Wegener, Ingo (eds.). Automata, Languages and Programming. Lecture Notes in Computer Science. Vol. 4052. Berlin, Heidelberg: Springer. pp. 1–12. doi:10.1007/11787006_1. ISBN 978-3-540-35908-1.

upenn.edu

cis.upenn.edu

The Algorithmic Foundations of Differential Privacy by Cynthia Dwork and Aaron Roth. Foundations and Trends in Theoretical Computer Science. Vol. 9, no. 3–4, pp. 211‐407, Aug. 2014. doi:10.1561/0400000042

web.archive.org

HILTON, MICHAEL. "Differential Privacy: A Historical Survey" (PDF). S2CID 16861132. Archived from the original (PDF) on 2017-03-01. {{cite journal}}: Cite journal requires |journal= (help)

worldcat.org

search.worldcat.org

Evans, Georgina; King, Gary (January 2023). "Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset". Political Analysis. 31 (1): 1–21. doi:10.1017/pan.2022.1. ISSN 1047-1987. S2CID 211137209.