Aleksandra Slavkovic
Huck Chair in Data Privacy and Confidentiality; Professor of Statistics and of Public Health Sciences
-
421A Thomas
University Park, PA - abs12@psu.edu
- (814) 863-4918
Research Summary
Methodological developments in the area of data privacy and confidentiality in the context of small and large scale surveys, health, genomic, and network data.
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Privacy Random Graphs Synthetic Data Graph Model Social Networks Exponential Family Statistics Propensity Score Classification And Regression Trees Graph In Graph Theory Linear Regression Graph Inference Modeling Estimator Similarity Model Hiv Latent Class Norm Count Data Sharing Statistical Models Genomics Disclosure ControlMost Recent Publications
Differentially Private Estimators \& Basic Statistical Inference
Aleksandra Slavkovic,
SEMINAR
Aleksandra Slavkovic,
Supporting Knowledge Sharing and Awareness in Emergency Management Planning: A Design Research
GREGORIO CONVERTINO, HELENA MENTIS, Aleksandra Slavkovic, MARY ROSSON, J Carroll,
Benefits and Pitfalls of the Exponential Mechanism
Jordan Awan, Ana Kenney, M Reimherr, Aleksandra Slavkovic,
Characterizing Joint Distributions for Contingency Tables with Applications to Statistical Disclosure Limitation
Aleksandra Slavkovic,
Privacy in Statistical Databases
Aleksandra Slavkovic, A Smith,
SUPPLEMENTARY MATERIAL FOR “CAUSAL INFERENCE IN TRANSPORTATION SAFETY STUDIES: COMPARISON OF POTENTIAL OUTCOMES AND CAUSAL DIAGRAMS”
Vishesh Karwa, Aleksandra Slavkovic,
Statistical Data Privacy: A Song of Privacy and Utility
Aleksandra Slavković, Jeremy Seeman, 2023, Annual Review of Statistics and Its Application on p. 189-218
A LATENT CLASS MODELING APPROACH FOR GENERATING SYNTHETIC DATA AND MAKING POSTERIOR INFERENCES FROM DIFFERENTIALLY PRIVATE COUNTS
Michelle Pistner Nixon, Andrés F. Barrientos, Jerome P. Reiter, Aleksandra Slavkovic, 2022, Journal of Privacy and Confidentiality
Shape And Structure Preserving Differential Privacy
Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra Slavkovic, 2022,
Most-Cited Papers
Ten Simple Rules for the Care and Feeding of Scientific Data
Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Merce Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret Hedstrom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra Slavkovic, 2014, PLoS Computational Biology
Scalable privacy-preserving data sharing methodology for genome-wide association studies
Fei Yu, Stephen E. Fienberg, Aleksandra B. Slavković, Caroline Uhler, 2014, Journal of Biomedical Informatics on p. 133--141
Inference using noisy degrees: Differentially private β-model and synthetic graphs
Vishesh Karwa, Aleksandra Slavković, 2016, Annals of Statistics on p. 87-112
General and specific utility measures for synthetic data
Joshua Snoke, Gillian M. Raab, Beata Nowok, Chris Dibben, Aleksandra Slavkovic, 2018, Journal of the Royal Statistical Society. Series A: Statistics in Society on p. 663-688
Sharing social network data: differentially private estimation of exponential family random-graph models
Vishesh Karwa, Pavel N. Krivitsky, Aleksandra B. Slavković, 2017, Journal of the Royal Statistical Society. Series C: Applied Statistics on p. 481-500
Differentially private exponential random graphs
Vishesh Karwa, Aleksandra B. Slavković, Pavel Krivitsky, 2014, on p. 143-155
Differentially private uniformly most powerful tests for binomial data
Jordan Awan, Aleksandra Slavković, 2018, Advances in Neural Information Processing Systems on p. 4208-4218
pMSE mechanism: Differentially private synthetic data with maximal distributional similarity
Joshua Snoke, Aleksandra Slavković, 2018, on p. 138-159
Statistical models for incorporating data from routine HIV testing of pregnant women at antenatal clinics into HIV/AIDS epidemic estimates
Ben Sheng, Kimberly Marsh, Aleksandra B. Slavkovic, Simon Gregson, Jeffrey Eaton, Le Bao, 2017, AIDS on p. S87-S94
Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms
Jordan Awan, Aleksandra Slavković, 2021, Journal of the American Statistical Association on p. 935-954
News Articles Featuring Aleksandra Slavkovic
Jul 07, 2023
Slavković named Huck Chair in Data Privacy and Confidentiality
Aleksandra "Seša" Slavković, professor of statistics and public health sciences and associate dean for graduate education in the Eberly College of Science at Penn State, has been appointed Dorothy Foehr Huck and J. Lloyd Huck Chair in Data Privacy and Confidentiality.
Full Article