Secure Multiparty Computation - Revision history

Simson: /* Boston University Salary Survey Work */

2020-06-04T16:54:49Z

Boston University Salary Survey Work

← Older revision		Revision as of 09:54, 4 June 2020
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	Principals: [http://cs-people.bu.edu/lapets/ Andrei Lapets], Boston University		Principals: [http://cs-people.bu.edu/lapets/ Andrei Lapets], Boston University

	* [https://www.boston.gov/sites/default/files/~~bwwc_report_final_january_4_2017~~.pdf BOSTON WOMEN’S WORKFORCE COUNCIL REPORT 2016] .		* [https://www.boston.gov/sites/default/files/document-file-09-2017/bwwcr-2016-new-report.pdf BOSTON WOMEN’S WORKFORCE COUNCIL REPORT 2016] .
	: "Working with the staff of the Hariri Institute, including Boston University Software & Application Innovation Lab interns and software engineers, we developed a completely confidential reporting system. The essence of this system is that actual wage data is never revealed outside of the company to which it relates. Rather, disguised averages are computed for each demographic category and aggregated across all companies using a technique known as secure multi-party computation, which means the BWWC receives anonymous, aggregated data. The data collected from employers was limited to a set of zip codes that defined the Greater Boston area for reporting purposes. We also asked for cash bonus information and an indication of the average seniority of the workers to provide additional background." pp. 11-12		: "Working with the staff of the Hariri Institute, including Boston University Software & Application Innovation Lab interns and software engineers, we developed a completely confidential reporting system. The essence of this system is that actual wage data is never revealed outside of the company to which it relates. Rather, disguised averages are computed for each demographic category and aggregated across all companies using a technique known as secure multi-party computation, which means the BWWC receives anonymous, aggregated data. The data collected from employers was limited to a set of zip codes that defined the Greater Boston area for reporting purposes. We also asked for cash bonus information and an indication of the average seniority of the workers to provide additional background." pp. 11-12

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	You will find a demo at: https://100talent.org/		You will find a demo at: https://100talent.org/


	==Allegheny County Demonstration==		==Allegheny County Demonstration==

Simson: /* See Also */

2020-01-21T16:31:46Z

Simson: /* See Also */

2020-01-21T16:31:28Z

Simson at 16:27, 21 January 2020

2020-01-21T16:27:10Z

← Older revision		Revision as of 09:27, 21 January 2020
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	==See Also==		==IARPA HECTOR==
			IARPA has the [https://www.iarpa.gov/index.php/research-programs/hector Homomorphic Encryption Computing Techniques with Overhead Reduction (HECTOR)] which is attempting to develop working prototypes using secure multiparty computation to solve real-world problems.

			=See Also=
	* [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article]		* [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article]
	* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173185/		* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173185/

Simson at 16:25, 21 January 2020

2020-01-21T16:25:50Z

← Older revision		Revision as of 09:25, 21 January 2020
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	* [http://www.cs.bu.edu/techreports/pdf/2015-009-mpc-compensation.pdf Web-based Multi-Party Computation with Application to Anonymous Aggregate Compensation Analytics], Andrei Lapets Eric Dunton Kyle Holzinger Frederick Jansen Azer Bestavros, Boston University CS Technical Report, September 2015.		* [http://www.cs.bu.edu/techreports/pdf/2015-009-mpc-compensation.pdf Web-based Multi-Party Computation with Application to Anonymous Aggregate Compensation Analytics], Andrei Lapets Eric Dunton Kyle Holzinger Frederick Jansen Azer Bestavros, Boston University CS Technical Report, September 2015.

			You will find a demo at: https://100talent.org/


	==Allegheny County Demonstration==		==Allegheny County Demonstration==
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	* [https://eprint.iacr.org/2018/450.pdf Galois 2018 Technical Report]		* [https://eprint.iacr.org/2018/450.pdf Galois 2018 Technical Report]

	~~==Demo==~~
	* https://100talent.org/

	==See Also==		==See Also==
	* [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article]		* [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article]
	* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173185/		* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173185/

Simson: /* Allegheny County Demonstration */

2020-01-21T16:11:46Z

Allegheny County Demonstration

← Older revision		Revision as of 09:11, 21 January 2020
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	In 2018, Allegheny County, Galois, and the Bipartisan Policy Center demonstrated both multiparty computation and computing in secure enclaves as an approach for allowing linkage and statistical computation on multiple confidential datasets maintained by different data owners.		In 2018, Allegheny County, Galois, and the Bipartisan Policy Center demonstrated both multiparty computation and computing in secure enclaves as an approach for allowing linkage and statistical computation on multiple confidential datasets maintained by different data owners.
	* [https://bipartisanpolicy.org/wp-content/uploads/2019/06/Privacy-Preserved-Data-Sharing-for-Evidence-Based-Policy-Decisions.pdf 2019 BCP technical report]		* [https://bipartisanpolicy.org/wp-content/uploads/2019/06/Privacy-Preserved-Data-Sharing-for-Evidence-Based-Policy-Decisions.pdf 2019 BCP technical report]
	* [~~2018 BCP Press Release~~ https://bipartisanpolicy.org/press-release/bpc-partners-with-allegheny-county-on-new-privacy-preserving-data-project/]		* [https://bipartisanpolicy.org/press-release/bpc-partners-with-allegheny-county-on-new-privacy-preserving-data-project/ 2018 BCP Press Release ]
	* It's based on Galoi's [https://galois.com/project/secure-multi-party-communication/ ShareMonad Secure Multiparty Computation Platform]		* It's based on Galoi's [https://galois.com/project/secure-multi-party-communication/ ShareMonad Secure Multiparty Computation Platform]
	* [https://gcn.com/articles/2019/05/31/secure-multiparty-computation.aspx Government Computing News May 31, 2019 article]		* [https://gcn.com/articles/2019/05/31/secure-multiparty-computation.aspx Government Computing News May 31, 2019 article]
	* [https://eprint.iacr.org/2018/450.pdf Galois 2018 Technical Report]		* [https://eprint.iacr.org/2018/450.pdf Galois 2018 Technical Report]


	==Demo==		==Demo==

Simson: /* Demo */

2020-01-21T16:10:53Z

Demo

← Older revision		Revision as of 09:10, 21 January 2020
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	* [http://www.cs.bu.edu/techreports/pdf/2015-009-mpc-compensation.pdf Web-based Multi-Party Computation with Application to Anonymous Aggregate Compensation Analytics], Andrei Lapets Eric Dunton Kyle Holzinger Frederick Jansen Azer Bestavros, Boston University CS Technical Report, September 2015.		* [http://www.cs.bu.edu/techreports/pdf/2015-009-mpc-compensation.pdf Web-based Multi-Party Computation with Application to Anonymous Aggregate Compensation Analytics], Andrei Lapets Eric Dunton Kyle Holzinger Frederick Jansen Azer Bestavros, Boston University CS Technical Report, September 2015.

			==Allegheny County Demonstration==
			In 2018, Allegheny County, Galois, and the Bipartisan Policy Center demonstrated both multiparty computation and computing in secure enclaves as an approach for allowing linkage and statistical computation on multiple confidential datasets maintained by different data owners.
			* [https://bipartisanpolicy.org/wp-content/uploads/2019/06/Privacy-Preserved-Data-Sharing-for-Evidence-Based-Policy-Decisions.pdf 2019 BCP technical report]
			* [2018 BCP Press Release https://bipartisanpolicy.org/press-release/bpc-partners-with-allegheny-county-on-new-privacy-preserving-data-project/]
			* It's based on Galoi's [https://galois.com/project/secure-multi-party-communication/ ShareMonad Secure Multiparty Computation Platform]
			* [https://gcn.com/articles/2019/05/31/secure-multiparty-computation.aspx Government Computing News May 31, 2019 article]
			* [https://eprint.iacr.org/2018/450.pdf Galois 2018 Technical Report]


	==Demo==		==Demo==

Simson: /* Companies that work in this area */

2017-05-25T13:19:16Z

Companies that work in this area

← Older revision		Revision as of 06:19, 25 May 2017
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	==Companies that work in this area==		==Companies that work in this area==
	* https://sharemind.cyber.ee		* https://sharemind.cyber.ee
			* https://www.dyadicsec.com
	* http://galois.com/		* http://galois.com/

Simson at 03:30, 25 May 2017

2017-05-25T03:30:33Z

@@ Line 1: / Line 1: @@
 == Prio: Private, Robust, and Scalable Computation of Aggregate Statistics==
 "Prio is a privacy-preserving system for the collection of aggregate statistics. Each Prio client holds a private data value (e.g., its current location), and a small set of servers compute statistical functions over the values of all clients (e.g., the most popular location). As long as at least one server is honest, the Prio servers learn nearly nothing about the clients’ private data, except what they can infer from the aggregate statistics that the system computes."
@@ Line 26: / Line 36: @@
 ==See Also==
 * [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article]

Simson: /* Boston University Salary Survey Work */

2017-04-30T14:38:29Z

Boston University Salary Survey Work

← Older revision		Revision as of 07:38, 30 April 2017
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	Principals: [http://cs-people.bu.edu/lapets/ Andrei Lapets], Boston University		Principals: [http://cs-people.bu.edu/lapets/ Andrei Lapets], Boston University

	* [https://www.boston.gov/sites/default/files/bwwc_report_final_january_4_2017.pdf BOSTON WOMEN’S WORKFORCE COUNCIL REPORT 2016].		* [https://www.boston.gov/sites/default/files/bwwc_report_final_january_4_2017.pdf BOSTON WOMEN’S WORKFORCE COUNCIL REPORT 2016] .
	: "Working with the staff of the Hariri Institute, including Boston University Software & Application Innovation Lab interns and software engineers, we developed a completely confidential reporting system. The essence of this system is that actual wage data is never revealed outside of the company to which it relates. Rather, disguised averages are computed for each demographic category and aggregated across all companies using a technique known as secure multi-party computation, which means the BWWC receives anonymous, aggregated data. The data collected from employers was limited to a set of zip codes that defined the Greater Boston area for reporting purposes. We also asked for cash bonus information and an indication of the average seniority of the workers to provide additional background." pp. 11-12		: "Working with the staff of the Hariri Institute, including Boston University Software & Application Innovation Lab interns and software engineers, we developed a completely confidential reporting system. The essence of this system is that actual wage data is never revealed outside of the company to which it relates. Rather, disguised averages are computed for each demographic category and aggregated across all companies using a technique known as secure multi-party computation, which means the BWWC receives anonymous, aggregated data. The data collected from employers was limited to a set of zip codes that defined the Greater Boston area for reporting purposes. We also asked for cash bonus information and an indication of the average seniority of the workers to provide additional background." pp. 11-12

← Older revision		Revision as of 09:31, 21 January 2020
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	=See Also=		=See Also=
	* [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article]		* [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article on Secure multi-party computation]
	* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173185/		* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173185/
	* [https://galois.com/project/ramparts/ Galois RAMPARTS]		* [https://galois.com/project/ramparts/ Galois RAMPARTS]

← Older revision		Revision as of 09:31, 21 January 2020
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	* [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article]		* [https://en.wikipedia.org/wiki/Secure_multi-party_computation Wikipedia article]
	* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173185/		* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173185/
			* [https://galois.com/project/ramparts/ Galois RAMPARTS]