Ashwin K. Machanavajjhala, Ph.D.

Affiliations: 
2008 Cornell University, Ithaca, NY, United States 
Area:
Computer Science
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"Ashwin Machanavajjhala"

Parents

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Johannes Gehrke grad student 2008 Cornell
 (Defining and enforcing privacy in data sharing.)
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Publications

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Barrientos AF, Reiter JP, Machanavajjhala A, et al. (2019) Differentially Private Significance Tests for Regression Coefficients Journal of Computational and Graphical Statistics. 28: 440-453
Barrientos AF, Bolton A, Balmat T, et al. (2018) Providing access to confidential research data through synthesis and verification: An application to data on employees of the U.S. federal government The Annals of Applied Statistics. 12: 1124-1156
Barrientos AF, Bolton A, Balmat T, et al. (2017) A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government National Bureau of Economic Research
Chen Y, Barrientos AF, Machanavajjhala A, et al. (2017) Is my model any good: differentially private regression diagnostics Knowledge and Information Systems. 54: 33-64
Machanavajjhala A, Kifer D. (2015) Designing statistical privacy for your data Communications of the Acm. 58: 58-67
Kum HC, Krishnamurthy A, Machanavajjhala A, et al. (2014) Privacy preserving interactive record linkage (PPIRL). Journal of the American Medical Informatics Association : Jamia. 21: 212-20
Kifer D, Machanavajjhala A. (2014) Pufferfish: A framework for mathematical privacy definitions Acm Transactions On Database Systems. 39
Kum HC, Krishnamurthy A, Machanavajjhala A, et al. (2014) Social genome: Putting big data to work for population informatics Computer. 47: 56-63
Machanavajjhala A, Reiter JP. (2012) Big privacy Xrds: Crossroads, the Acm Magazine For Students. 19: 20-23
Gotz M, MacHanavajjhala A, Wang G, et al. (2012) Publishing search logs - A comparative study of privacy guarantees Ieee Transactions On Knowledge and Data Engineering. 24: 520-532
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