Aleksandra B. Slavkovic

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 25

Top Topics

Differentially Private

Spectral Clustering

Differential Privacy

Top Venues

J. Priv. Confidentiality

Publications

Soumya Mukherjee, Aratrika Mustafi, Aleksandra B. Slavkovic, Lars Vilhuber
Assessing Utility of Differential Privacy for RCTs. CoRR (2023)
Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra B. Slavkovic
Shape And Structure Preserving Differential Privacy. NeurIPS (2022)
Jeremy Seeman, Matthew Reimherr, Aleksandra B. Slavkovic
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms. CoRR (2022)
Aleksandra B. Slavkovic, Jeremy Seeman
Statistical Data Privacy: A Song of Privacy and Utility. CoRR (2022)
Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra B. Slavkovic
Shape And Structure Preserving Differential Privacy. CoRR (2022)
Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy. J. Priv. Confidentiality 12 (2) (2022)
Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr
A Formal Privacy Framework for Partially Private Data. CoRR (2022)
Jonathan Hehir, Xiaoyue Niu, Aleksandra B. Slavkovic
Perfect Spectral Clustering with Discrete Covariates. CoRR (2022)
Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu
Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model. CoRR (2021)
Jeremy Seeman, Matthew Reimherr, Aleksandra B. Slavkovic
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms. NeurIPS (2021)
Aleksandra B. Slavkovic, Roberto Molinari
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy. CoRR (2021)
Jordan Awan, Aleksandra B. Slavkovic
Differentially Private Inference for Binomial Data. J. Priv. Confidentiality 10 (1) (2020)
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)
Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B. Slavkovic
Program for TPDP 2016. J. Priv. Confidentiality 9 (1) (2019)
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 (2019)
Jordan Awan, Aleksandra B. Slavkovic
Differentially Private Inference for Binomial Data. CoRR (2019)
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)
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)
Ardalan Mirshani, Matthew Reimherr, Aleksandra B. Slavkovic
Formal Privacy for Functional Data with Gaussian Perturbations. ICML (2019)
Aleksandra B. Slavkovic, Lars Vilhuber
Remembering Stephen Fienberg. J. Priv. Confidentiality 8 (1) (2018)
Joshua Snoke, Aleksandra B. Slavkovic
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity. PSD (2018)
Michelle Pistner, Aleksandra B. Slavkovic, Lars Vilhuber
Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data. PSD (2018)
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)
Jordan Awan, Aleksandra B. Slavkovic
Differentially Private Uniformly Most Powerful Tests for Binomial Data. NeurIPS (2018)
Joshua Snoke, Timothy R. Brick, Aleksandra B. Slavkovic
Accurate Estimation of Structural Equation Models with Remote Partitioned Data. PSD (2016)
Vishesh Karwa, Dan Kifer, Aleksandra B. Slavkovic
Private Posterior distributions from Variational approximations. CoRR (2015)
Vishesh Karwa, Pavel N. Krivitsky, Aleksandra B. Slavkovic
Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models. CoRR (2015)
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 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)
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 (2014)
Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky
Differentially Private Exponential Random Graphs. CoRR (2014)
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 Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra B. Slavkovic
10 Simple Rules for the Care and Feeding of Scientific Data. CoRR (2014)
Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky
Differentially Private Exponential Random Graphs. Privacy in Statistical Databases (2014)
Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
Privacy-Preserving Data Sharing for Genome-Wide Association Studies. J. Priv. Confidentiality 5 (1) (2013)
Vishesh Karwa, Aleksandra B. Slavkovic
Differentially Private Synthetic graphs CoRR (2012)
Vishesh Karwa, Aleksandra B. Slavkovic
Differentially Private Graphical Degree Sequences and Synthetic Graphs. Privacy in Statistical Databases (2012)
Yong Ming Jeffrey Woo, Aleksandra B. Slavkovic
Logistic Regression with Variables Subject to Post Randomization Method. Privacy in Statistical Databases (2012)
Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
Privacy-Preserving Data Sharing for Genome-Wide Association Studies CoRR (2012)
Aleksandra B. Slavkovic, Adam D. Smith
Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy. J. Priv. Confidentiality 4 (1) (2012)
Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler
Privacy Preserving GWAS Data Sharing. ICDM Workshops (2011)
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) (2011)
Aleksandra B. Slavkovic
Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts. J. Priv. Confidentiality 1 (2) (2010)
Duy Vu, Aleksandra B. Slavkovic
Differential Privacy for Clinical Trial Data: Preliminary Evaluations. ICDM Workshops (2009)
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)
Stephen E. Fienberg, Yuval Nardi, Aleksandra B. Slavkovic
Valid Statistical Analysis for Logistic Regression with Multiple Sources. ISIPS (2008)
Byran J. Smucker, Aleksandra B. Slavkovic
Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies. Privacy in Statistical Databases (2008)
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)
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. Tibbits
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases. ICDM Workshops (2007)
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)
Aleksandra B. Slavkovic, Seth Sullivant
The space of compatible full conditionals is a unimodular toric variety. J. Symb. Comput. 41 (2) (2006)
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) (2005)
Aleksandra B. Slavkovic, Stephen E. Fienberg
Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies. Privacy in Statistical Databases (2004)
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)
Aleksandra B. Slavkovic, Karen Cross
Novice heuristic evaluations of a complex interface. CHI Extended Abstracts (1999)