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Selective MPC: Distributed Computation of Differentially Private Key Value Statistics [article]

Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum
2021 arXiv   pre-print
In this work, we present selective multi-party computation, a novel approach to distributed computation that leverages DP leakage to efficiently and accurately compute statistics over key value data.  ...  Existing LDP solutions for computing statistics over key value data suffer from the inherent accuracy limitations of each user adding their own noise.  ...  ACKNOWLEDGEMENTS We gratefully acknowledge the support of NSERC for grants RGPIN-05849, CRDPJ-531191, IRC-537591 and the Royal Bank of Canada for funding this research.  ... 
arXiv:2107.12407v1 fatcat:moorries4jhrfaddbelx7sj6ky

Committed MPC [chapter]

Tore K. Frederiksen, Benny Pinkas, Avishay Yanai
2018 Lecture Notes in Computer Science  
In addition, since our protocol computes over committed values, it can be readily composed within larger protocols, and can also be used for efficiently implementing committing OT or committed OT.  ...  Finally we show how to use the fully homomorphic commitments to compute any functionality securely in the presence of a malicious adversary corrupting any number of parties.  ...  Introduction Secure computation (MPC) is the area of cryptography concerned with mutually distrusting parties who wish to compute some function f on private input from each of the parties, yielding some  ... 
doi:10.1007/978-3-319-76578-5_20 fatcat:bczz62pdufg2rkgxipgnl6rp4m

Cloud-based MPC with Encrypted Data [article]

Andreea B. Alexandru, Manfred Morari, George J. Pappas
2018 arXiv   pre-print
In the first case, a control input for the system is privately computed by the cloud server, with the assistance of the client.  ...  In our cloud-based architecture, a client sends her private states to the cloud who performs the MPC computation and returns the control inputs.  ...  Through communication, encryption and statistical blinding, the two servers can privately compute nonlinear operations.  ... 
arXiv:1803.09891v2 fatcat:6zxhx72curhvrgibg6flkfp4jq

MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack [article]

Ziyao Liu, Ivan Tjuawinata, Chaoping Xing, Kwok-Yan Lam
2021 arXiv   pre-print
The application of secure multiparty computation (MPC) in machine learning, especially privacy-preserving neural network training, has attracted tremendous attention from the research community in recent  ...  MPC enables several data owners to jointly train a neural network while preserving the data privacy of each participant.  ...  Hence we need to generate the public key in distributed manner and keep its factors secret while still enabling joint decryption to be done without revealing the private key.  ... 
arXiv:2007.12557v3 fatcat:eg2br7kbb5a5xp46e6z43mmh5u

Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics [article]

Rishabh Poddar, Sukrit Kalra, Avishay Yanai, Ryan Deng, Raluca Ada Popa, Joseph M. Hellerstein
2020 arXiv   pre-print
At the heart of Senate lies a new MPC decomposition protocol that decomposes the cryptographic MPC computation into smaller units, some of which can be executed by subsets of parties and in parallel, while  ...  Unlike prior works on secure multi-party computation (MPC) that assume that all parties are semi-honest, Senate protects the data even in the presence of malicious adversaries.  ...  We also thank members of the RISELab at UC Berkeley for their helpful comments on earlier versions of this paper; Charles Lin for his assistance in the early phases of this project; and Carmit Hazay for  ... 
arXiv:2010.13752v1 fatcat:wvzmgje76favta36snhulf76cy

A Wide‐FieldHubble Space TelescopeStudy of the Cluster Cl 0024+16 atz= 0.4. I. Morphological Distributions to 5 Mpc Radius

Tommaso Treu, Richard S. Ellis, Jean‐Paul Kneib, Alan Dressler, Ian Smail, Oliver Czoske, Augustus Oemler, Priyamvada Natarajan
2003 Astrophysical Journal  
a cluster radius of 5 Mpc.  ...  The fraction of early-type galaxies declines steeply from the cluster center to 1 Mpc radius and more gradually thereafter, asymptoting towards the field value at the periphery.  ...  Beyond ∼ 1 Mpc the surface density approaches this value.  ... 
doi:10.1086/375314 fatcat:4x7jwsuy55acxob5s5k5dfuywy

Canada: Selected Issues Paper

International Monetary Fund
2011 IMF Staff Country Reports  
Debt in Selected Economies (Percent of GDP, 2010 except Russia which refers to 2009) Sources: IMF Government Finance Statistics, OECD, and Fund staff calculations.  ...  Our estimate of the MPC out of average changes in housing wealth is 4.3 cents per dollar.  ...  Provincial and Local Financial Assets, 2000-2010 (Percent of GDP) APPENDIX DATA SOURCES AND ESTIMATION METHODS FOR BILATERAL CLAIMS AND LIABILITIES Foreign direct investment abroad.  ... 
doi:10.5089/9781463929237.002 fatcat:2oq3pxx2yzbi5l756gypmosmei

Oort: Efficient Federated Learning via Guided Participant Selection [article]

Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
2021 arXiv   pre-print
In this paper, we propose Oort to improve the performance of federated training and testing with guided participant selection.  ...  To enable FL developers to interpret their results in model testing, Oort enforces their requirements on the distribution of participant data while improving the duration of federated testing by cherry-picking  ...  Recent efforts in FL have been focusing on improving communication efficiency [37, 58] or compression schemes [13] , ensuring privacy by leveraging multi-party computation (MPC) [20] and differential  ... 
arXiv:2010.06081v3 fatcat:5zpbiq2vpjgjnfeiikbrknf2ce

Argentina: Selected Issues

International Monetary Fund.
2017 IMF Staff Country Reports  
Also, we found that investment surges generally built up gradually, with the median investment rate increasing on average by 2 percentage points over the first two years, about 40 percent of the overall  ...  , income distribution, and population statistics).  ...  Argentina's average public sector wage premium (measured as the public-private wage differential as a percent of private wage) was most recently estimated at 13¼ percent, above the LA6 and EM averages  ... 
doi:10.5089/9781484335833.002 fatcat:gaslmwjztfgzhjdgk3fkgkvl4q

Taking Personalities Out of Monetary Policy Decision Making? Interactions, Heterogeneity and Committee Decisions in the Bank of England's MPC

Arnab Bhattacharjee, Sean Holly
2006 Social Science Research Network  
ABSTRACT The transparency of the monetary policymaking process at the Bank of England has provided very detailed data on both the votes of individual members of the Monetary Policy Committee and the information  ...  among the members of the committee.  ...  Statistics (ONS) Labour Force Survey.  ... 
doi:10.2139/ssrn.951492 fatcat:etbimq4hcjg5nmdxmm6mpyn724

From Keys to Databases—Real-World Applications of Secure Multi-Party Computation

David W Archer, Dan Bogdanov, Yehuda Lindell, Liina Kamm, Kurt Nielsen, Jakob Illeborg Pagter, Nigel P Smart, Rebecca N Wright
2018 Computer journal  
We highlight in this paper a number of these, ranging from securing small high value items such as cryptographic keys, through to securing an entire database.  ...  We discuss the widely increasing range of applications of a cryptographic technique called Multi-Party Computation.  ...  Another protective technique for differential privacy is to implement memoization of differential privacy noise, so that on repeated queries, the same noise values are selected.  ... 
doi:10.1093/comjnl/bxy090 fatcat:dnpklhzlcfca3autnp3wftkdya

Computing Statistics from Private Data

George Alter, Brett Hemenway Falk, Steve Lu, Rafail Ostrovsky
2018 Data Science Journal  
Sloan foundation for "Computing Statistics from Private Data" (Grant Number G-2014-13803), which supported the workshops that resulted in this paper.  ...  We are also grateful to the participants in those workshops for their insights and comments on early drafts of this paper: Brian Athey, Mark Flood, Shafi Goldwasser, Marcelline Harris, Mary Hill, Susan  ...  shares of the private key.  ... 
doi:10.5334/dsj-2018-031 fatcat:4n53ta533vh2fmgt26m3nuajyi

The Local Space Density of Optically Selected Clusters of Galaxies

D. A. Bramel, R. C. Nichol, A. C. Pope
2000 Astrophysical Journal  
Abridged] We present here new results on the space density of rich, optically-selected, clusters of galaxies at low redshift (z<0.15).  ...  Using these simulations, we are able to compute the space density of clusters in this new survey.  ...  ACKNOWLEDGEMENTS The authors would like to thank Brad Holden, Lori Lubin, Marc Postman and Kath Romer for their assistance during the course of this work.  ... 
doi:10.1086/308713 fatcat:2d7c3osh45aeplkmhmtiqndgtu

Denmark: Selected Issues

2018 IMF Staff Country Reports  
Total investment in Denmark has peaked at 24 percent of GDP before the crisis and dropped to 18 percent of GDP in 2010.  ...  GFCG/GDP Ratio: Comparison of Denmark with EU Peers  ...  The key mechanism is the link of lending credit premia and the net worth of potential borrowers, which declines in value during downturns.  ... 
doi:10.5089/9781484362556.002 fatcat:bjdl6oc76retheyhzfy5llnkmi

Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications [article]

David Byrd, Antigoni Polychroniadou
2020 arXiv   pre-print
A system can further reduce the coordinating server's ability to recover private client information, without additional accuracy loss, by also including secure multiparty computation.  ...  This adds uncertainty to any attempt to reveal private client data, but also reduces the accuracy of the shared model, limiting the useful scale of privacy-preserving noise.  ...  Morgan"), and is not a product of the Research Department of J.P. Morgan. J.P.  ... 
arXiv:2010.05867v1 fatcat:gtrmrbyeqbcltmcq2viruifezy
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