Krishnamurty Muralidhar

52 papers C 15Journal 35Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Consensus Privacy Metrics Framework for Synthetic Data.
CoRR
Lisa Pilgram, Fida K. Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam
2025 J jnl
A consensus privacy metrics framework for synthetic data.
Patterns
Lisa Pilgram, Fida Kamal Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam
2025 J jnl
Anonymization Did Not Fail: Misconceptions and Overstatements on Data Anonymization Failures.
IEEE Secur. Priv.
David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar
2025 J jnl
Synthetic Data Generation via the Permutation Paradigm With Optional $k$k-Anonymity.
IEEE Trans. Dependable Secur. Comput.
Josep Domingo-Ferrer, Krishnamurty Muralidhar, Sergio Martínez
2024 C conf
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata.
PSD
David Sánchez, Najeeb Jebreel, Krishnamurty Muralidhar, Josep Domingo-Ferrer, Alberto Blanco-Justicia
2024 C conf
Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census.
PSD
Krishnamurty Muralidhar, Steven Ruggles
2023 J jnl
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning.
ACM Comput. Surv.
Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar
2023 J jnl
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata.
CoRR
David Sánchez, Najeeb Jebreel, Josep Domingo-Ferrer, Krishnamurty Muralidhar, Alberto Blanco-Justicia
2023 J jnl
Database Reconstruction Is Not So Easy and Is Different from Reidentification.
CoRR
Krishnamurty Muralidhar, Josep Domingo-Ferrer
2023 J jnl
Moment-based density estimation of confidential micro-data: a computational statistics approach.
Stat. Comput.
Bradley Wakefield, Yan-Xia Lin, Rathindra Sarathy, Krishnamurty Muralidhar
2022 J jnl
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning.
CoRR
Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar
2022 C conf
A Re-examination of the Census Bureau Reconstruction and Reidentification Attack.
PSD
Krishnamurty Muralidhar
2021 J jnl
General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model.
IEEE Trans. Dependable Secur. Comput.
Josep Domingo-Ferrer, Krishnamurty Muralidhar, Maria Bras-Amorós
2020 J jnl
General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model.
CoRR
Josep Domingo-Ferrer, Krishnamurty Muralidhar, Maria Bras-Amorós
2020 C ed.
Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020, Proceedings
PSD
Josep Domingo-Ferrer, Krishnamurty Muralidhar
2020 C conf
ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility).
PSD
Krishnamurty Muralidhar, Josep Domingo-Ferrer, Sergio Martínez
2018 C conf
On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective.
PSD
Nicolás Ruiz, Krishnamurty Muralidhar, Josep Domingo-Ferrer
2018 J jnl
Statistical Information Recovery from Multivariate Noise-Multiplied Data, a Computational Approach.
Trans. Data Priv.
Yan-Xia Lin, Luke Mazur, Rathindra Sarathy, Krishnamurty Muralidhar
2016 J jnl
New directions in anonymization: Permutation paradigm, verifiability by subjects and intruders, transparency to users.
Inf. Sci.
Josep Domingo-Ferrer, Krishnamurty Muralidhar
2016 C conf
Rank-Based Record Linkage for Re-Identification Risk Assessment.
PSD
Krishnamurty Muralidhar, Josep Domingo-Ferrer
2016 J jnl
Secure attribute sharing of linked microdata.
Decis. Support Syst.
Krishnamurty Muralidhar, Rathindra Sarathy, Han Li
2015 J jnl
A Bootstrap Mechanism for Response Masking in Remote Analysis Systems.
Decis. Sci.
Krishnamurty Muralidhar, Christine M. O'Keefe, Rathindra Sarathy
2015 J jnl
New Directions in Anonymization: Permutation Paradigm, Verifiability by Subjects and Intruders, Transparency to Users.
CoRR
Josep Domingo-Ferrer, Krishnamurty Muralidhar
2014 C conf
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
Robert McCaa, Krishnamurty Muralidhar, Rathindra Sarathy, Michael Comerford, Albert Esteve-Palos
2014 J jnl
Evaluating Re-Identification Risks of Data Protected by Additive Data Perturbation.
J. Database Manag.
Han Li, Krishnamurty Muralidhar, Rathindra Sarathy, Xin (Robert) Luo
2014 C conf
Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata.
Privacy in Statistical Databases
Krishnamurty Muralidhar, Rathindra Sarathy, Josep Domingo-Ferrer
2012 C conf
An Investigation of Model-Based Microdata Masking for Magnitude Tabular Data Release.
Privacy in Statistical Databases
Mario Trottini, Krishnamurty Muralidhar, Rathindra Sarathy
2012 C conf
Anonymization Methods for Taxonomic Microdata.
Privacy in Statistical Databases
Josep Domingo-Ferrer, Krishnamurty Muralidhar, Guillem Rufian-Torrell
2012 J jnl
Statistical Dependence as the Basis for a Privacy Measure for Microdata Release.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Krishnamurty Muralidhar, Rathindra Sarathy
2011 J jnl
Evaluating Laplace Noise Addition to Satisfy Differential Privacy for Numeric Data.
Trans. Data Priv.
Rathindra Sarathy, Krishnamurty Muralidhar
2010 C conf
Does Differential Privacy Protect Terry Gross' Privacy?
Privacy in Statistical Databases
Krishnamurty Muralidhar, Rathindra Sarathy
2010 C conf
Some Additional Insights on Applying Differential Privacy for Numeric Data.
Privacy in Statistical Databases
Rathindra Sarathy, Krishnamurty Muralidhar
2008 C conf
A Preliminary Investigation of the Impact of Gaussian Versus t-Copula for Data Perturbation.
Privacy in Statistical Databases
Mario Trottini, Krishnamurty Muralidhar, Rathindra Sarathy
2008 J jnl
Generating Sufficiency-based Non-Synthetic Perturbed Data.
Trans. Data Priv.
Krishnamurty Muralidhar, Rathindra Sarathy
2007 J jnl
Technical Note - Assessment of Disclosure Risk When Using Confidentiality via Camouflage.
Oper. Res.
Han Li, Krishnamurty Muralidhar, Rathindra Sarathy
2006 J jnl
Data Shuffling - A New Masking Approach for Numerical Data.
Manag. Sci.
Krishnamurty Muralidhar, Rathindra Sarathy
2006 J jnl
Secure and useful data sharing.
Decis. Support Syst.
Rathindra Sarathy, Krishnamurty Muralidhar
2006 C conf
Why Swap When You Can Shuffle? A Comparison of the Proximity Swap and Data Shuffle for Numeric Data.
Privacy in Statistical Databases
Krishnamurty Muralidhar, Rathindra Sarathy, Ramesh A. Dandekar
2005 J jnl
An Enhanced Data Perturbation Approach for Small Data Sets.
Decis. Sci.
Krishnamurty Muralidhar, Rathindra Sarathy
2005 — conf
Can You Have Your Cake and Eat It Too? Sharing Healthcare Data Without Compromising Privacy and Confidentiality.
AMCIS
Krishnamurty Muralidhar, Rathindra Sarathy
2003 J jnl
A rejoinder to the comments by Polettini and Stander.
Stat. Comput.
Krishnamurty Muralidhar, Rathindra Sarathy
2003 J jnl
A theoretical basis for perturbation methods.
Stat. Comput.
Krishnamurty Muralidhar, Rathindra Sarathy
2002 — ch.
Monte Carlo Simulation.
Encyclopedia of Information Systems
Krishnamurty Muralidhar
2002 J jnl
Perturbing Nonnormal Confidential Attributes: The Copula Approach.
Manag. Sci.
Rathindra Sarathy, Krishnamurty Muralidhar, Rahul Parsa
2002 J jnl
The Security of Confidential Numerical Data in Databases.
Inf. Syst. Res.
Rathindra Sarathy, Krishnamurty Muralidhar
2001 J jnl
An Improved Security Requirement for Data Perturbation with Implications for E-Commerce.
Decis. Sci.
Krishnamurty Muralidhar, Rathindra Sarathy, Rahul Parsa
1999 J jnl
Security of Random Data Perturbation Methods.
ACM Trans. Database Syst.
Krishnamurty Muralidhar, Rathindra Sarathy
1995 J jnl
An investigation of the effectiveness of statistical distributions for additive fixed data perturbation.
Comput. Oper. Res.
Krishnamurty Muralidhar, Dinesh Batra
1991 J jnl
Bootstrap confidence intervals for estimating audit value from skewed populations and small samples.
Simul.
Krishnamurty Muralidhar, Gary Adna Ames, Rathindra Sarathy
1990 J jnl
Using the analytic hierarchy process for information system project selection.
Inf. Manag.
Krishnamurty Muralidhar, Radhika Santhanam, Rick L. Wilson
1989 J jnl
A simulation procedure for sample size determination in electric utility load research.
Simul.
Krishnamurty Muralidhar, Marietta J. Tretter
1989 J jnl
The evolution of an expert DSS for electric utility load research.
Comput. Oper. Res.
Krishnamurty Muralidhar, Marietta J. Tretter