The evolution of an expert DSS for electric utility load research. - Krishnamurty Muralidhar; Marietta J. Tretter (Comput. Oper. Res., 1989)

A simulation procedure for sample size determination in electric utility load research. - Krishnamurty Muralidhar; Marietta J. Tretter (Simul., 1989)

Using the analytic hierarchy process for information system project selection. - Krishnamurty Muralidhar; Radhika Santhanam; Rick L. Wilson (Inf. Manag., 1990)

Bootstrap confidence intervals for estimating audit value from skewed populations and small samples. - Krishnamurty Muralidhar; Gary Adna Ames; Rathindra Sarathy (Simul., 1991)

An investigation of the effectiveness of statistical distributions for additive fixed data perturbation. - Krishnamurty Muralidhar; Dinesh Batra (Comput. Oper. Res., 1995)

Security of Random Data Perturbation Methods. - Krishnamurty Muralidhar; Rathindra Sarathy (ACM Trans. Database Syst., 1999)

An Improved Security Requirement for Data Perturbation with Implications for E-Commerce. - Krishnamurty Muralidhar; Rathindra Sarathy; Rahul Parsa (Decis. Sci., 2001)

The Security of Confidential Numerical Data in Databases. - Rathindra Sarathy; Krishnamurty Muralidhar (Inf. Syst. Res., 2002)

Perturbing Nonnormal Confidential Attributes: The Copula Approach. - Rathindra Sarathy; Krishnamurty Muralidhar; Rahul Parsa (Manag. Sci., 2002)

Monte Carlo Simulation. - Krishnamurty Muralidhar (Encyclopedia of Information Systems, 2002)

A theoretical basis for perturbation methods. - Krishnamurty Muralidhar; Rathindra Sarathy (Stat. Comput., 2003)

A rejoinder to the comments by Polettini and Stander. - Krishnamurty Muralidhar; Rathindra Sarathy (Stat. Comput., 2003)

Can You Have Your Cake and Eat It Too? Sharing Healthcare Data Without Compromising Privacy and Confidentiality. - Krishnamurty Muralidhar; Rathindra Sarathy (AMCIS, 2005)

An Enhanced Data Perturbation Approach for Small Data Sets. - Krishnamurty Muralidhar; Rathindra Sarathy (Decis. Sci., 2005)

Why Swap When You Can Shuffle? A Comparison of the Proximity Swap and Data Shuffle for Numeric Data. - Krishnamurty Muralidhar; Rathindra Sarathy; Ramesh A. Dandekar (Privacy in Statistical Databases, 2006)

Secure and useful data sharing. - Rathindra Sarathy; Krishnamurty Muralidhar (Decis. Support Syst., 2006)

Data Shuffling - A New Masking Approach for Numerical Data. - Krishnamurty Muralidhar; Rathindra Sarathy (Manag. Sci., 2006)

Technical Note - Assessment of Disclosure Risk When Using Confidentiality via Camouflage. - Han Li 001; Krishnamurty Muralidhar; Rathindra Sarathy (Oper. Res., 2007)

A Preliminary Investigation of the Impact of Gaussian Versus t-Copula for Data Perturbation. - Mario Trottini; Krishnamurty Muralidhar; Rathindra Sarathy (Privacy in Statistical Databases, 2008)

Generating Sufficiency-based Non-Synthetic Perturbed Data. - Krishnamurty Muralidhar; Rathindra Sarathy (Trans. Data Priv., 2008)

Does Differential Privacy Protect Terry Gross' Privacy? - Krishnamurty Muralidhar; Rathindra Sarathy (Privacy in Statistical Databases, 2010)

Some Additional Insights on Applying Differential Privacy for Numeric Data. - Rathindra Sarathy; Krishnamurty Muralidhar (Privacy in Statistical Databases, 2010)

Evaluating Laplace Noise Addition to Satisfy Differential Privacy for Numeric Data. - Rathindra Sarathy; Krishnamurty Muralidhar (Trans. Data Priv., 2011)

Anonymization Methods for Taxonomic Microdata. - Josep Domingo-Ferrer; Krishnamurty Muralidhar; Guillem Rufian-Torrell (Privacy in Statistical Databases, 2012)

An Investigation of Model-Based Microdata Masking for Magnitude Tabular Data Release. - Mario Trottini; Krishnamurty Muralidhar; Rathindra Sarathy (Privacy in Statistical Databases, 2012)

Statistical Dependence as the Basis for a Privacy Measure for Microdata Release. - Krishnamurty Muralidhar; Rathindra Sarathy (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012)

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. - Robert McCaa; Krishnamurty Muralidhar; Rathindra Sarathy; Michael Comerford; Albert Esteve-Palos (Privacy in Statistical Databases, 2014)

Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata. - Krishnamurty Muralidhar; Rathindra Sarathy; Josep Domingo-Ferrer (Privacy in Statistical Databases, 2014)

Evaluating Re-Identification Risks of Data Protected by Additive Data Perturbation. - Han Li 001; Krishnamurty Muralidhar; Rathindra Sarathy; Xin (Robert) Luo (J. Database Manag., 2014)

A Bootstrap Mechanism for Response Masking in Remote Analysis Systems. - Krishnamurty Muralidhar; Christine M. O'Keefe; Rathindra Sarathy (Decis. Sci., 2015)

Rank-Based Record Linkage for Re-Identification Risk Assessment. - Krishnamurty Muralidhar; Josep Domingo-Ferrer (PSD, 2016)

Secure attribute sharing of linked microdata. - Krishnamurty Muralidhar; Rathindra Sarathy; Han Li 001 (Decis. Support Syst., 2016)

New directions in anonymization: Permutation paradigm, verifiability by subjects and intruders, transparency to users. - Josep Domingo-Ferrer; Krishnamurty Muralidhar (Inf. Sci., 2016)

On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective. - Nicolás Ruiz; Krishnamurty Muralidhar; Josep Domingo-Ferrer (PSD, 2018)

Statistical Information Recovery from Multivariate Noise-Multiplied Data, a Computational Approach. - Yan-Xia Lin; Luke Mazur; Rathindra Sarathy; Krishnamurty Muralidhar (Trans. Data Priv., 2018)

ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility). - Krishnamurty Muralidhar; Josep Domingo-Ferrer; Sergio Martínez (PSD, 2020)

General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model. - Josep Domingo-Ferrer; Krishnamurty Muralidhar; Maria Bras-Amorós (IEEE Trans. Dependable Secur. Comput., 2021)

A Re-examination of the Census Bureau Reconstruction and Reidentification Attack. - Krishnamurty Muralidhar (PSD, 2022)

Database Reconstruction Is Not So Easy and Is Different from Reidentification. - Krishnamurty Muralidhar; Josep Domingo-Ferrer (CoRR, 2023)

A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning. - Alberto Blanco-Justicia; David Sánchez 001; Josep Domingo-Ferrer; Krishnamurty Muralidhar (ACM Comput. Surv., 2023)

Moment-based density estimation of confidential micro-data: a computational statistics approach. - Bradley Wakefield; Yan-Xia Lin; Rathindra Sarathy; Krishnamurty Muralidhar (Stat. Comput., 2023)

Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census. - Krishnamurty Muralidhar; Steven Ruggles (PSD, 2024)

An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. - David Sánchez 001; Najeeb Jebreel; Krishnamurty Muralidhar; Josep Domingo-Ferrer; Alberto Blanco-Justicia (PSD, 2024)

Synthetic Data Generation via the Permutation Paradigm With Optional $k$k-Anonymity. - Josep Domingo-Ferrer; Krishnamurty Muralidhar; Sergio Martínez (IEEE Trans. Dependable Secur. Comput., 2025)

A Consensus Privacy Metrics Framework for Synthetic Data. - 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; et al. (CoRR, 2025)