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.
Huck Affiliations
Links
Most Recent Publications
Supporting Knowledge Sharing and Awareness in Emergency Management Planning: A Design Research
GREGORIO CONVERTINO, HELENA MENTIS, Aleksandra Slavkovic, MARY ROSSON, J Carroll,
SUPPLEMENTARY MATERIAL FOR “CAUSAL INFERENCE IN TRANSPORTATION SAFETY STUDIES: COMPARISON OF POTENTIAL OUTCOMES AND CAUSAL DIAGRAMS”
Vishesh Karwa, Aleksandra Slavkovic,
Characterizing Joint Distributions for Contingency Tables with Applications to Statistical Disclosure Limitation
Aleksandra Slavkovic,
Privacy in Statistical Databases
Aleksandra Slavkovic, A Smith,
Differentially Private Estimators \& Basic Statistical Inference
Aleksandra Slavkovic,
SEMINAR
Aleksandra Slavkovic,
LAUNCHING THE SOCIETY FOR PRIVACY AND CONFIDENTIALITY RESEARCH TO PUBLISH THE JOURNAL OF PRIVACY AND CONFIDENTIALITY
John M. Abowd, Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Jerome Reiter, Aleksandra Slavković, Lars Vilhuber, 2024, Journal of Privacy and Confidentiality on p. 1-2
Differentially Private Quantile Regression
Tran Tran, Matthew Logan Reimherr, Aleksandra Slavkovic, 2024, on p. 18-34
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
Most-Cited Papers
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
Inference using noisy degrees: Differentially private β-model and synthetic graphs
Vishesh Karwa, Aleksandra Slavković, 2016, Annals of Statistics on p. 87-112
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 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
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
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
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
Differentially private inference for binomial data
Jordan Awan, Aleksandra Slavković, 2020, Journal of Privacy and Confidentiality on p. 1-40
Differentially private model selection with penalized and constrained likelihood
Jing Lei, Anne Sophie Charest, Aleksandra Slavkovic, Adam Smith, Stephen Fienberg, 2018, Journal of the Royal Statistical Society. Series A: Statistics in Society on p. 609-633
News Articles Featuring Aleksandra Slavkovic
Nov 27, 2024
Heard on Campus: Launch of new center in molecular and cellular sciences, NCEMS
Reception celebrates new NSF-funded National Synthesis Center for Emergence in the Molecular and Cellular Sciences at Penn State.
Full Article
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