Sarathy, R. and K. Muralidhar, "Differential Privacy for Numeric Data." Joint UNECE/Eurostat work session on statistical data confidentiality (Bilbao, Spain, 2-4 December 2009).

Muralidhar, K. and R. Sarathy, "Privacy Violations in Accountability Data Released to the Public by State Educational Agencies," Federal Committee on Statistical Methodology Research Conference, Washington DC, November 2-4, 2009.
Paper
Presentation

Muralidhar, K. and R. Sarathy, " Generating Sufficiency-based Non-Synthetic Perturbed Data," Transactions on Data Privacy, 1(1), 17-33, 2008.
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An implementation of the procedure described in this manuscript will be available on μ-argus.

Li, H., K. Muralidhar, and R. Sarathy, “Assessment of Disclosure Risk when using Confidentiality via Camouflage,” Operations Research, 55(6), 1178-1182, 2007.
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Muralidhar, K. and R. Sarathy, “A Comparison of Multiple Imputation and Data Perturbation for Masking Numerical Variables,” Journal of Official Statistics, 22(3), 507-524, 2006.

Muralidhar, K. and R. Sarathy, "Data Shuffling- A New Masking Approach for Numerical Data," Management Science, 52(5), 658-670, 2006.
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Muralidhar, K. and R. Sarathy, "An Enhanced Data Perturbation Approach for Small Data Sets," Decision Sciences, 36(3), 513-529, 2005.
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Muralidhar, K. and R. Sarathy, "A Rejoinder to the Comments by Polettini and Stander on 'A Theoretical Basis for Perturbation Methods'," Statistics and Computing, 13(4), 339-342, 2003.
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Muralidhar, K. and R. Sarathy, "A Theoretical Basis for Perturbation Methods," Statistics and Computing, 13(4), 329-335, 2003.
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Sarathy, R., K. Muralidhar, and R. Parsa, "Perturbing Non-Normal Confidential Attributes: The Copula Approach," Management Science, 48(12), 1613-1627, 2002.
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Muralidhar, K. and R. Sarathy, "What Could They Find? An Assessment of Security Risk," Proceedings of the 2002 National Meeting of the Decision Sciences Institute, San Diego, November 2002.
Best Interdisciplinary Paper Award
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Sarathy, R. and K. Muralidhar, "The Security of Confidential Numerical Data in Databases," Information Systems Research, 13(4), 389-403, 2002.
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Muralidhar, K., R. Sarathy, and R. Parsa, "An Improved Security Requirement for Data Perturbation with Implications for E-Commerce," Decision Sciences, 32(4), 683-698, 2001.
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Muralidhar, K. and R.Sarathy, "Security of Random Data Perturbation Methods," ACM Transactions on Database Systems, 24(4), 487-493, 1999.
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Muralidhar, K., R. Parsa, and R. Sarathy, "A General Additive Data Perturbation Method for Database Security," Management Science, 45(10), 1399-1415, 1999.
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Muralidhar, K., D. Batra, and P. Kirs, “Accessibility, Security, and Accuracy in Statistical Databases: The Case for the Multiplicative Fixed Data Perturbation Approach,” Management Science, 41(9), 1549-1564,1995.
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Muralidhar, K. and R. Sarathy, “A Theoretical Comparison of Data Masking Techniques for Numerical Microdata,” 3rd IAB Workshop on Confidentiality and Disclosure - SDC for Microdata, Nuremberg, Germany, November 20-21, 2008.
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Sarathy, R. and K. Muralidhar, “Sufficiency-based Non-Synthetic Perturbation Approach,” 3rd IAB Workshop on Confidentiality and Disclosure - SDC for Microdata, Nuremberg, Germany, November 20-21, 2008.
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Muralidhar, K. “A Primer on Data Masking Techniques for Numerical Data,” University of Kentucky Computer Science Colloquium, November 12, 2008.
Presentation and Example

Trottini, M., Muralidhar, K. and R. Sarathy, “A Preliminary Investigation of the Impact of Gaussian versus t-copulas for Data Perturbation,” Privacy in Statistical Databases, Istanbul, Turkey, September 24-26, 2008.
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Muralidhar, K. “A Comparison of Numerical Data Masking Techniques,” A Panel Discussion on balancing Data Quality and Confidentiality, UNECE/EUROSTAT Worksession on Statistical Data Confidentiality, Manchester UK, December 17-19, 2007.
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Muralidhar, K. and R. Sarathy,“Numerical Data Masking Techniques for Maintaining Sub-Domain Characteristics,” UNECE/EUROSTAT Worksession on Statistical Data Confidentiality, Manchester UK, December 17-19, 2007.
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Muralidhar, K. and R. Sarathy, “‘Easy to Implement’ is Putting the Cart before the Horse: Effective Techniques for Masking Numerical Data”, Federal Committee on Statistical Methodology Conference, Washington DC, November 5-7, 2007.
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Muralidhar, K., "Data Masking for Preserving Confidentiality of Data: State of the Art and Future Research Directions", Department of Management, Indian Institute of Technology - Madras, September 10, 2007.

R. Sarathy and K. Muralidhar, "Securing Outsourced Data: State of the Art and Future Research Directions," International Symposium on Information Systems, Hyderabad, India, December 16-18, 2006.
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Sarathy, R. and K. Muralidhar, "Data Masking - Problems, Solutions, and Opportunities," TRDDC - TCS, Pune, India, December 2006.
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Muralidhar, K. and R. Sarathy, "Why Swap when you can Shuffle? A Comparison of the Proximity Swap and the Data Shuffle for Numeric Data," in Domingo-Ferrer and Franconi, Eds.: Privacy in Statistical Databases (PSD 2006), LNCS 4302, 164-176, Springer Verlag, Berlin, 2006.
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Muralidhar, K. and R. Sarathy, "Can you eat your cake and have it too? Sharing healthcare data without compromising privacy or confidentiality," The 12th Annual HIPAA Summit, Washington DC, April 2006.
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Li, H., R. Sarathy, and K. Muralidhar, Assessment of Re-identification Risks of General Additive Perturbation Using Record Linkage," 2005 Annual Meeting of the Decision Sciences Institute, San Franciso, CA, November 2005.

Muralidhar, K. and R. Sarathy, "A Common Measure of Identity and Value Disclosure Risk," UNECE/EUROSTAT Joint Work Session on Statistical Data Confidentiality, November 9-11, Geneva.
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Muralidhar, K. and R. Sarathy, "Can you have your Cake and Eat it Too? Sharing Healthcare Data without Compromising Privacy or Confidentiality," Best Paper Award. 2005 Americas Conference on Information Systems, Omaha, NE, August 11-13.
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Sarathy, R. and K. Muralidhar,"A Unified Approach for Measuring Identity and Value Disclosure," CS-Statistics Workshop On Privacy and Confidentiality, July 9-15 2005, University of Bologna Residential Center Bertinoro (Forlì), Italy.

Muralidhar, K., "Recent Developments in Data Masking," Institute for Research in Information Systems, Oklahoma State University, Stillwater, OK, April 2003.

Muralidhar, K. and R. Sarathy, "Recent Advances in Perturbation Methods," 2003 Annual Meeting of the Decision Sciences Institute, Washinton DC, November 2003.

Muralidhar, K. and R. Sarathy, "Access, Data Utility and Privacy," NSF Workshop on Confidentiality, Washington DC, May 2003.
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Muralidhar, K. and R. Sarathy, "Masking Numerical Data: Past, Present, and Future," Confidentiality and Data Access Committee of the Federal Committee on Statistical Methodology, Washington DC, April 2003.
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Muralidhar, K. and R. Sarathy, "Recent Advances in Perturbation Methods," Joint ECE/EUROSTAT Work Session on Data Confidentiality, Luxembourg, April 2003.

Muralidhar, K. and R. Sarathy, "The Data Shuffle: A New Masking Procedure for Numerical Data," 8th INFORMS Computing Society Conference, Chandler, AZ, January 2003.

Muralidhar, K. and R. Sarathy, "Complete Access, Data Utility and Privacy are NOT Always Mutually Exclusive," 2002 Association of Public Data Users Group Conference, Washington DC, October 21, 2002.
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Muralidhar, K. and R. Sarathy, "The Two Step Data Shuffle: A New Masking Procedure,"
Invited seminar presented to the Census Bureau and the Washington Statistical Society, Washington DC, May 20, 2002.
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Muralidhar, K., R. Sarathy, "Preserving Confidentiality: Swapping and Perturbation," INFORMS Annual Meeting 2001, Miami Beach, FL, November, 2001.

Sarathy, R., K. Muralidhar, and R. Parsa, "Issues in Perturbing Non-Normal Confidential Attributes," Proceedings of the 2001 Americas Conference on Information Systems, Boston, MA, August, 2001.

Muralidhar, K., R. Parsa, and R. Sarathy, “Random Data Perturbation for Non-normal Data,” Proceedings of the 2000 Annual Meeting of the Decision Sciences Institute, Orlando, FL, November, 2000.

Muralidhar,K., R. Parsa, and R. Sarathy, "Optimal Bias and Security Conditions for Random Data Perturbation,"  Proceedings of 1999 Annual Meeting of the Decision Sciences Institute, New Orleans, LA, November, 1999.

Parsa, R.A., K. Muralidhar, and R. Sarathy, "Optimal Methods of Data Perturbation,"  1998 Proceedings of the Section on Government Statistics and Section on Social Statistics of the American Statistical Association, pp. 70-72, 1998.

Muralidhar, K. and R. Sarathy, “Evaluating the Level of Security of Random Data Perturbation Methods,” Proceedings of the 1998 Annual Meeting of the Decision Sciences Institute, Las Vegas, NV, 1998.

Parsa, R.A., K. Muralidhar, and R. Sarathy, "A General Method for Data Perturbation," 1997 Proceedings of the Section on Government Statistics and Section on Social Statistics of the American Statistical Association, pp. 308-310, 1997.

Muralidhar, K., R. Sarathy, and R. Parsa, “Maintaining the Relationship Between Confidential and Non-Confidential Attributes in Statistical Databases,” Proceedings of the 1996 Annual Meeting of the Decision Sciences Institute, Orlando FL, 1996.

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