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Aleksandra B. Slavkovic
Person information
- unicode name: Aleksandra B. Slavković
- affiliation: Penn State University, Department of Statistics, University Park, PA, USA
- affiliation (PhD 2004): Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2023
- [i16]Soumya Mukherjee, Aratrika Mustafi, Aleksandra B. Slavkovic, Lars Vilhuber:
Assessing Utility of Differential Privacy for RCTs. CoRR abs/2309.14581 (2023) - 2022
- [j14]Michelle Nixon, Andrés F. Barrientos
, Jerome P. Reiter
A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables. J. Priv. Confidentiality 12(1) (2022) - [j13]Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy. J. Priv. Confidentiality 12(2) (2022) - [c24]Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra B. Slavkovic:
Shape And Structure Preserving Differential Privacy. NeurIPS 2022 - [i15]Jeremy Seeman, Aleksandra B. Slavkovic
A Formal Privacy Framework for Partially Private Data. CoRR abs/2204.01102 (2022) - [i14]Jeremy Seeman, Matthew Reimherr, Aleksandra B. Slavkovic:
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms. CoRR abs/2204.01132 (2022) - [i13]Aleksandra B. Slavkovic, Jeremy Seeman:
Statistical Data Privacy: A Song of Privacy and Utility. CoRR abs/2205.03336 (2022) - [i12]Jonathan Hehir, Xiaoyue Niu, Aleksandra B. Slavkovic
Perfect Spectral Clustering with Discrete Covariates. CoRR abs/2205.08047 (2022) - [i11]Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra B. Slavkovic:
Shape And Structure Preserving Differential Privacy. CoRR abs/2209.12667 (2022) - 2021
- [c23]Jeremy Seeman, Matthew Reimherr, Aleksandra B. Slavkovic:
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms. NeurIPS 2021: 13125-13136 - [i10]Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu:
Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model. CoRR abs/2105.12615 (2021) - [i9]Aleksandra B. Slavkovic, Roberto Molinari:
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy. CoRR abs/2108.08266 (2021) - 2020
- [j12]Jordan Awan, Aleksandra B. Slavkovic
Differentially Private Inference for Binomial Data. J. Priv. Confidentiality 10(1) (2020) - [c22]Jeremy Seeman, Aleksandra B. Slavkovic
Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data. PSD 2020: 323-336
2010 – 2019
- 2019
- [j11]Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B. Slavkovic:
Program for TPDP 2016. J. Priv. Confidentiality 9(1) (2019) - [c21]Qoua L. Her, Yuji Samizo, Thomas Kent, Aleksandra B. Slavkovic, Mia Gallagher, Darren Toh:
Redesigning PopMedNetTM for distributed regression analysis with vertically partitioned data. AMIA 2019 - [c20]Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra B. Slavkovic:
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA. ICML 2019: 374-384 - [c19]Ardalan Mirshani, Matthew Reimherr, Aleksandra B. Slavkovic:
Formal Privacy for Functional Data with Gaussian Perturbations. ICML 2019: 4595-4604 - [i8]Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra B. Slavkovic:
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA. CoRR abs/1901.10864 (2019) - [i7]Jordan Awan, Aleksandra B. Slavkovic:
Differentially Private Inference for Binomial Data. CoRR abs/1904.00459 (2019) - 2018
- [j10]Bai Li, Vishesh Karwa, Aleksandra B. Slavkovic, Rebecca Carter Steorts
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms. J. Priv. Confidentiality 8(1) (2018) - [j9]Aleksandra B. Slavkovic, Lars Vilhuber
Remembering Stephen Fienberg. J. Priv. Confidentiality 8(1) (2018) - [c18]Jordan Awan, Aleksandra B. Slavkovic:
Differentially Private Uniformly Most Powerful Tests for Binomial Data. NeurIPS 2018: 4212-4222 - [c17]Michelle Pistner, Aleksandra B. Slavkovic
Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data. PSD 2018: 92-108 - [c16]Joshua Snoke, Aleksandra B. Slavkovic
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity. PSD 2018: 138-159 - 2016
- [c15]Joshua Snoke, Timothy R. Brick
Accurate Estimation of Structural Equation Models with Remote Partitioned Data. PSD 2016: 190-209 - 2015
- [i6]Vishesh Karwa, Pavel N. Krivitsky, Aleksandra B. Slavkovic:
Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models. CoRR abs/1511.02930 (2015) - [i5]Vishesh Karwa, Dan Kifer, Aleksandra B. Slavkovic:
Private Posterior distributions from Variational approximations. CoRR abs/1511.07896 (2015) - 2014
- [j8]Fei Yu, Stephen E. Fienberg, Aleksandra B. Slavkovic
Scalable privacy-preserving data sharing methodology for genome-wide association studies. J. Biomed. Informatics 50: 133-141 (2014) - [j7]Alyssa Goodman
Ten Simple Rules for the Care and Feeding of Scientific Data. PLoS Comput. Biol. 10(4) (2014) - [c14]Vishesh Karwa, Aleksandra B. Slavkovic
Differentially Private Exponential Random Graphs. Privacy in Statistical Databases 2014: 143-155 - [i4]Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer
10 Simple Rules for the Care and Feeding of Scientific Data. CoRR abs/1401.2134 (2014) - [i3]Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky:
Differentially Private Exponential Random Graphs. CoRR abs/1409.4696 (2014) - 2013
- [j6]Caroline Uhler
Privacy-Preserving Data Sharing for Genome-Wide Association Studies. J. Priv. Confidentiality 5(1) (2013) - 2012
- [j5]Aleksandra B. Slavkovic
Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy. J. Priv. Confidentiality 4(1) (2012) - [c13]Yong Ming Jeffrey Woo, Aleksandra B. Slavkovic
Logistic Regression with Variables Subject to Post Randomization Method. Privacy in Statistical Databases 2012: 116-130 - [c12]Vishesh Karwa, Aleksandra B. Slavkovic
Differentially Private Graphical Degree Sequences and Synthetic Graphs. Privacy in Statistical Databases 2012: 273-285 - [i2]Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg:
Privacy-Preserving Data Sharing for Genome-Wide Association Studies. CoRR abs/1205.0739 (2012) - [i1]Vishesh Karwa, Aleksandra B. Slavkovic:
Differentially Private Synthetic graphs. CoRR abs/1205.4697 (2012) - 2011
- [j4]Gregorio Convertino
Supporting common ground and awareness in emergency management planning: A design research project. ACM Trans. Comput. Hum. Interact. 18(4): 22:1-22:34 (2011) - [c11]Stephen E. Fienberg, Aleksandra B. Slavkovic
Privacy Preserving GWAS Data Sharing. ICDM Workshops 2011: 628-635 - [r2]Sonja Petrovic, Aleksandra B. Slavkovic:
Algebraic Statistics. International Encyclopedia of Statistical Science 2011: 29-32 - [r1]Stephen E. Fienberg, Aleksandra B. Slavkovic:
Data Privacy and Confidentiality. International Encyclopedia of Statistical Science 2011: 342-345 - 2010
- [j3]Aleksandra B. Slavkovic
Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts. J. Priv. Confidentiality 1(2) (2010)
2000 – 2009
- 2009
- [c10]Gregorio Convertino
Supporting content and process common ground in computer-supported teamwork. CHI 2009: 2339-2348 - [c9]Duy Vu, Aleksandra B. Slavkovic
Differential Privacy for Clinical Trial Data: Preliminary Evaluations. ICDM Workshops 2009: 138-143 - 2008
- [c8]Gregorio Convertino
Articulating common ground in cooperative work: content and process. CHI 2008: 1637-1646 - [c7]Stephen E. Fienberg, Yuval Nardi, Aleksandra B. Slavkovic
Valid Statistical Analysis for Logistic Regression with Multiple Sources. ISIPS 2008: 82-94 - [c6]Byran J. Smucker, Aleksandra B. Slavkovic
Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies. Privacy in Statistical Databases 2008: 64-76 - [p1]Stephen E. Fienberg, Aleksandra B. Slavkovic:
A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries. Privacy-Preserving Data Mining 2008: 291-312 - 2007
- [c5]Aleksandra B. Slavkovic
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases. ICDM Workshops 2007: 723-728 - 2006
- [j2]Aleksandra B. Slavkovic
The space of compatible full conditionals is a unimodular toric variety. J. Symb. Comput. 41(2): 196-209 (2006) - [c4]Stephen E. Fienberg, William J. Fulp
"Secure" Log-Linear and Logistic Regression Analysis of Distributed Databases. Privacy in Statistical Databases 2006: 277-290 - 2005
- [j1]Stephen E. Fienberg, Aleksandra B. Slavkovic
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules. Data Min. Knowl. Discov. 11(2): 155-180 (2005) - 2004
- [c3]Aleksandra B. Slavkovic
Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies. Privacy in Statistical Databases 2004: 30-43 - 2000
- [c2]Emilee Patrick
Using a large projection screen as an alternative to head-mounted displays for virtual environments. CHI 2000: 478-485
1990 – 1999
- 1999
- [c1]Aleksandra B. Slavkovic
Novice heuristic evaluations of a complex interface. CHI Extended Abstracts 1999: 304-305
Coauthor Index
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