Aleksandra B. Slavkovic

Orcid: 0000-0003-0497-1771

Affiliations:
  • Penn State University, Department of Statistics, University Park, PA, USA
  • Carnegie Mellon University, Pittsburgh, PA, USA (PhD 2004)


According to our database1, Aleksandra B. Slavkovic authored at least 51 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Assessing Utility of Differential Privacy for RCTs.
CoRR, 2023

2022
A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables.
J. Priv. Confidentiality, 2022

Consistent Spectral Clustering of Network Block Models under Local Differential Privacy.
J. Priv. Confidentiality, 2022

Perfect Spectral Clustering with Discrete Covariates.
CoRR, 2022

Statistical Data Privacy: A Song of Privacy and Utility.
CoRR, 2022

A Formal Privacy Framework for Partially Private Data.
CoRR, 2022

Shape And Structure Preserving Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy.
CoRR, 2021

Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model.
CoRR, 2021

Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Differentially Private Inference for Binomial Data.
J. Priv. Confidentiality, 2020

Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data.
Proceedings of the Privacy in Statistical Databases, 2020

2019
Program for TPDP 2016.
J. Priv. Confidentiality, 2019

Formal Privacy for Functional Data with Gaussian Perturbations.
Proceedings of the 36th International Conference on Machine Learning, 2019

Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA.
Proceedings of the 36th International Conference on Machine Learning, 2019

Redesigning PopMedNetTM for distributed regression analysis with vertically partitioned data.
Proceedings of the AMIA 2019, 2019

2018
Remembering Stephen Fienberg.
J. Priv. Confidentiality, 2018

A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms.
J. Priv. Confidentiality, 2018

pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity.
Proceedings of the Privacy in Statistical Databases, 2018

Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data.
Proceedings of the Privacy in Statistical Databases, 2018

Differentially Private Uniformly Most Powerful Tests for Binomial Data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
Accurate Estimation of Structural Equation Models with Remote Partitioned Data.
Proceedings of the Privacy in Statistical Databases, 2016

2015
Private Posterior distributions from Variational approximations.
CoRR, 2015

Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models.
CoRR, 2015

2014
Ten Simple Rules for the Care and Feeding of Scientific Data.
PLoS Comput. Biol., 2014

Scalable privacy-preserving data sharing methodology for genome-wide association studies.
J. Biomed. Informatics, 2014

10 Simple Rules for the Care and Feeding of Scientific Data.
CoRR, 2014

Differentially Private Exponential Random Graphs.
Proceedings of the Privacy in Statistical Databases, 2014

2013
Privacy-Preserving Data Sharing for Genome-Wide Association Studies.
J. Priv. Confidentiality, 2013

2012
Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy.
J. Priv. Confidentiality, 2012

Differentially Private Synthetic graphs
CoRR, 2012

Logistic Regression with Variables Subject to Post Randomization Method.
Proceedings of the Privacy in Statistical Databases, 2012

Differentially Private Graphical Degree Sequences and Synthetic Graphs.
Proceedings of the Privacy in Statistical Databases, 2012

2011
Algebraic Statistics.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Data Privacy and Confidentiality.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Supporting common ground and awareness in emergency management planning: A design research project.
ACM Trans. Comput. Hum. Interact., 2011

Privacy Preserving GWAS Data Sharing.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts.
J. Priv. Confidentiality, 2010

2009
Differential Privacy for Clinical Trial Data: Preliminary Evaluations.
Proceedings of the ICDM Workshops 2009, 2009

Supporting content and process common ground in computer-supported teamwork.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008
A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies.
Proceedings of the Privacy in Statistical Databases, 2008

Valid Statistical Analysis for Logistic Regression with Multiple Sources.
Proceedings of the Protecting Persons While Protecting the People, 2008

Articulating common ground in cooperative work: content and process.
Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
The space of compatible full conditionals is a unimodular toric variety.
J. Symb. Comput., 2006

"Secure" Log-Linear and Logistic Regression Analysis of Distributed Databases.
Proceedings of the Privacy in Statistical Databases, 2006

2005
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules.
Data Min. Knowl. Discov., 2005

2004
Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies.
Proceedings of the Privacy in Statistical Databases: CASC Project International Workshop, 2004

2000
Using a large projection screen as an alternative to head-mounted displays for virtual environments.
Proceedings of the CHI 2000 Conference on Human factors in computing systems, 2000

1999
Novice heuristic evaluations of a complex interface.
Proceedings of the CHI '99 Extended Abstracts on Human Factors in Computing Systems, 1999


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