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ORCIDKrishnamurty Muralidhar
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2020 – today
- 2024
[c15]David Sánchez
, Najeeb Jebreel, Krishnamurty Muralidhar, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. PSD 2024: 213-224- [c14]Krishnamurty Muralidhar, Steven Ruggles:
Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census. PSD 2024: 393-402 - 2023
- [j26]Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar:
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning. ACM Comput. Surv. 55(8): 160:1-160:16 (2023) - [j25]Bradley Wakefield, Yan-Xia Lin, Rathindra Sarathy, Krishnamurty Muralidhar:
Moment-based density estimation of confidential micro-data: a computational statistics approach. Stat. Comput. 33(1): 35 (2023) - [i5]Krishnamurty Muralidhar, Josep Domingo-Ferrer:
Database Reconstruction Is Not So Easy and Is Different from Reidentification. CoRR abs/2301.10213 (2023) - [i4]David Sánchez, Najeeb Jebreel, Josep Domingo-Ferrer, Krishnamurty Muralidhar, Alberto Blanco-Justicia:
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. CoRR abs/2311.03171 (2023) - 2022
- [c13]Krishnamurty Muralidhar:
A Re-examination of the Census Bureau Reconstruction and Reidentification Attack. PSD 2022: 312-323 - [i3]Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar:
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning. CoRR abs/2206.04621 (2022) - 2021
- [j24]Josep Domingo-Ferrer, Krishnamurty Muralidhar, Maria Bras-Amorós:
General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model. IEEE Trans. Dependable Secur. Comput. 18(5): 2506-2517 (2021) - 2020
- [c12]Krishnamurty Muralidhar, Josep Domingo-Ferrer, Sergio Martínez:
ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility). PSD 2020: 21-31 - [e1]Josep Domingo-Ferrer, Krishnamurty Muralidhar:
Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings. Lecture Notes in Computer Science 12276, Springer 2020, ISBN 978-3-030-57520-5 [contents] - [i2]Josep Domingo-Ferrer, Krishnamurty Muralidhar, Maria Bras-Amorós:
General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model. CoRR abs/2010.03502 (2020)
2010 – 2019
- 2018
- [j23]Yan-Xia Lin, Luke Mazur, Rathindra Sarathy, Krishnamurty Muralidhar:
Statistical Information Recovery from Multivariate Noise-Multiplied Data, a Computational Approach. Trans. Data Priv. 11(1): 23-45 (2018) - [c11]Nicolás Ruiz, Krishnamurty Muralidhar, Josep Domingo-Ferrer:
On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective. PSD 2018: 59-74 - 2016
- [j22]Krishnamurty Muralidhar, Rathindra Sarathy, Han Li:
Secure attribute sharing of linked microdata. Decis. Support Syst. 81: 20-29 (2016) - [j21]Josep Domingo-Ferrer, Krishnamurty Muralidhar:
New directions in anonymization: Permutation paradigm, verifiability by subjects and intruders, transparency to users. Inf. Sci. 337-338: 11-24 (2016) - [c10]Krishnamurty Muralidhar, Josep Domingo-Ferrer:
Rank-Based Record Linkage for Re-Identification Risk Assessment. PSD 2016: 225-236 - 2015
- [j20]Krishnamurty Muralidhar, Christine M. O'Keefe, Rathindra Sarathy:
A Bootstrap Mechanism for Response Masking in Remote Analysis Systems. Decis. Sci. 46(6): 1199-1226 (2015) - [i1]Josep Domingo-Ferrer, Krishnamurty Muralidhar:
New Directions in Anonymization: Permutation Paradigm, Verifiability by Subjects and Intruders, Transparency to Users. CoRR abs/1501.04186 (2015) - 2014
- [j19]Han Li, Krishnamurty Muralidhar, Rathindra Sarathy, Xin (Robert) Luo:
Evaluating Re-Identification Risks of Data Protected by Additive Data Perturbation. J. Database Manag. 25(2): 52-74 (2014) - [c9]Krishnamurty Muralidhar, Rathindra Sarathy, Josep Domingo-Ferrer:
Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata. Privacy in Statistical Databases 2014: 105-116 - [c8]Robert McCaa, Krishnamurty Muralidhar, Rathindra Sarathy, Michael Comerford, Albert Esteve-Palos:
Controlled Shuffling, Statistical Confidentiality and Microdata Utility: A Successful Experiment with a 10% Household Sample of the 2011 Population Census of Ireland for the IPUMS-International Database. Privacy in Statistical Databases 2014: 326-337 - 2012
- [j18]Krishnamurty Muralidhar, Rathindra Sarathy:
Statistical Dependence as the Basis for a Privacy Measure for Microdata Release. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 20(6): 893-906 (2012) - [c7]Mario Trottini, Krishnamurty Muralidhar, Rathindra Sarathy:
An Investigation of Model-Based Microdata Masking for Magnitude Tabular Data Release. Privacy in Statistical Databases 2012: 47-62 - [c6]Josep Domingo-Ferrer, Krishnamurty Muralidhar, Guillem Rufian-Torrell:
Anonymization Methods for Taxonomic Microdata. Privacy in Statistical Databases 2012: 90-102 - 2011
- [j17]Rathindra Sarathy, Krishnamurty Muralidhar:
Evaluating Laplace Noise Addition to Satisfy Differential Privacy for Numeric Data. Trans. Data Priv. 4(1): 1-17 (2011) - 2010
- [c5]Krishnamurty Muralidhar, Rathindra Sarathy:
Does Differential Privacy Protect Terry Gross' Privacy? Privacy in Statistical Databases 2010: 200-209 - [c4]Rathindra Sarathy, Krishnamurty Muralidhar:
Some Additional Insights on Applying Differential Privacy for Numeric Data. Privacy in Statistical Databases 2010: 210-219
2000 – 2009
- 2008
- [j16]Krishnamurty Muralidhar, Rathindra Sarathy:
Generating Sufficiency-based Non-Synthetic Perturbed Data. Trans. Data Priv. 1(1): 17-33 (2008) - [c3]Mario Trottini, Krishnamurty Muralidhar, Rathindra Sarathy:
A Preliminary Investigation of the Impact of Gaussian Versus t-Copula for Data Perturbation. Privacy in Statistical Databases 2008: 127-138 - 2007
- [j15]Han Li, Krishnamurty Muralidhar, Rathindra Sarathy:
Technical Note - Assessment of Disclosure Risk When Using Confidentiality via Camouflage. Oper. Res. 55(6): 1178-1182 (2007) - 2006
- [j14]Rathindra Sarathy, Krishnamurty Muralidhar:
Secure and useful data sharing. Decis. Support Syst. 42(1): 204-220 (2006) - [j13]Krishnamurty Muralidhar, Rathindra Sarathy:
Data Shuffling - A New Masking Approach for Numerical Data. Manag. Sci. 52(5): 658-670 (2006) - [c2]Krishnamurty Muralidhar, Rathindra Sarathy, Ramesh A. Dandekar:
Why Swap When You Can Shuffle? A Comparison of the Proximity Swap and Data Shuffle for Numeric Data. Privacy in Statistical Databases 2006: 164-176 - 2005
- [j12]Krishnamurty Muralidhar, Rathindra Sarathy:
An Enhanced Data Perturbation Approach for Small Data Sets. Decis. Sci. 36(3): 513-529 (2005) - [c1]Krishnamurty Muralidhar, Rathindra Sarathy:
Can You Have Your Cake and Eat It Too? Sharing Healthcare Data Without Compromising Privacy and Confidentiality. AMCIS 2005: 294 - 2003
- [j11]Krishnamurty Muralidhar, Rathindra Sarathy:
A theoretical basis for perturbation methods. Stat. Comput. 13(4): 329-335 (2003) - [j10]Krishnamurty Muralidhar, Rathindra Sarathy:
A rejoinder to the comments by Polettini and Stander. Stat. Comput. 13(4): 339-342 (2003) - 2002
- [j9]Rathindra Sarathy, Krishnamurty Muralidhar:
The Security of Confidential Numerical Data in Databases. Inf. Syst. Res. 13(4): 389-403 (2002) - [j8]Rathindra Sarathy, Krishnamurty Muralidhar, Rahul Parsa:
Perturbing Nonnormal Confidential Attributes: The Copula Approach. Manag. Sci. 48(12): 1613-1627 (2002) - [p1]Krishnamurty Muralidhar:
Monte Carlo Simulation. Encyclopedia of Information Systems 2002: 193-201 - 2001
- [j7]Krishnamurty Muralidhar, Rathindra Sarathy, Rahul Parsa:
An Improved Security Requirement for Data Perturbation with Implications for E-Commerce. Decis. Sci. 32(4): 683-698 (2001)
1990 – 1999
- 1999
- [j6]Krishnamurty Muralidhar, Rathindra Sarathy:
Security of Random Data Perturbation Methods. ACM Trans. Database Syst. 24(4): 487-493 (1999) - 1995
- [j5]Krishnamurty Muralidhar, Dinesh Batra:
An investigation of the effectiveness of statistical distributions for additive fixed data perturbation. Comput. Oper. Res. 22(7): 701-713 (1995) - 1991
- [j4]Krishnamurty Muralidhar, Gary Adna Ames, Rathindra Sarathy:
Bootstrap confidence intervals for estimating audit value from skewed populations and small samples. Simul. 56(2): 119-127 (1991) - 1990
- [j3]Krishnamurty Muralidhar, Radhika Santhanam, Rick L. Wilson:
Using the analytic hierarchy process for information system project selection. Inf. Manag. 18(2): 87-95 (1990)
1980 – 1989
- 1989
- [j2]Krishnamurty Muralidhar, Marietta J. Tretter:
The evolution of an expert DSS for electric utility load research. Comput. Oper. Res. 16(3): 247-256 (1989) - [j1]Krishnamurty Muralidhar, Marietta J. Tretter:
A simulation procedure for sample size determination in electric utility load research. Simul. 52(2): 53-58 (1989)
Coauthor Index
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