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ORCIDAleksandra 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
- 2024
[j15]John M. Abowd, Cynthia Dwork, Alan F. Karr
, Kobbi Nissim, Jerome P. Reiter, Aleksandra B. Slavkovic, Lars Vilhuber:
Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. J. Priv. Confidentiality 14(3) (2024)- [c25]Tran Tran, Matthew Reimherr, Aleksandra B. Slavkovic:
Differentially Private Quantile Regression. PSD 2024: 18-34 - [i17]Carlos Soto, Matthew Reimherr, Aleksandra B. Slavkovic, Mark Shriver:
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation. CoRR abs/2409.08301 (2024) - 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, Aleksandra B. Slavkovic:
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, Matthew Reimherr:
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, Matthew Reimherr:
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, Lars Vilhuber:
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, Aleksandra B. Slavkovic:
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, Caroline Uhler:
Scalable privacy-preserving data sharing methodology for genome-wide association studies. J. Biomed. Informatics 50: 133-141 (2014) - [j7]Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Mercè Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret L. Hedstrom, David W. Hogg, Vinay L. Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra B. Slavkovic:
Ten Simple Rules for the Care and Feeding of Scientific Data. PLoS Comput. Biol. 10(4) (2014) - [c14]Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky:
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, Mercè Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret L. Hedstrom, David W. Hogg, Vinay L. Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra B. Slavkovic:
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, Aleksandra B. Slavkovic, Stephen E. Fienberg:
Privacy-Preserving Data Sharing for Genome-Wide Association Studies. J. Priv. Confidentiality 5(1) (2013) - 2012
- [j5]Aleksandra B. Slavkovic, Adam D. Smith:
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, Helena M. Mentis, Aleksandra B. Slavkovic, Mary Beth Rosson, John M. Carroll:
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, Caroline Uhler:
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, Helena M. Mentis, Mary Beth Rosson, Aleksandra B. Slavkovic, John M. Carroll:
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, Helena M. Mentis, Mary Beth Rosson, John M. Carroll, Aleksandra B. Slavkovic, Craig H. Ganoe:
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, Yuval Nardi, Matthew M. Tibbits:
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases. ICDM Workshops 2007: 723-728 - 2006
- [j2]Aleksandra B. Slavkovic, Seth Sullivant:
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, Aleksandra B. Slavkovic, Tracey A. Wrobel:
"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, Stephen E. Fienberg:
Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies. Privacy in Statistical Databases 2004: 30-43 - 2000
- [c2]Emilee Patrick, Dennis Cosgrove, Aleksandra B. Slavkovic, Jennifer Ann Rode, Thom Verratti, Greg Chiselko:
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, Karen Cross:
Novice heuristic evaluations of a complex interface. CHI Extended Abstracts 1999: 304-305
Coauthor Index
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