Novice heuristic evaluations of a complex interface. - Aleksandra B. Slavkovic; Karen Cross (CHI Extended Abstracts, 1999)

Using a large projection screen as an alternative to head-mounted displays for virtual environments. - Emilee Patrick; Dennis Cosgrove; Aleksandra B. Slavkovic; Jennifer Ann Rode; Thom Verratti; Greg Chiselko (CHI, 2000)

Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies. - Aleksandra B. Slavkovic; Stephen E. Fienberg (Privacy in Statistical Databases, 2004)

Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules. - Stephen E. Fienberg; Aleksandra B. Slavkovic (Data Min. Knowl. Discov., 2005)

"Secure" Log-Linear and Logistic Regression Analysis of Distributed Databases. - Stephen E. Fienberg; William J. Fulp; Aleksandra B. Slavkovic; Tracey A. Wrobel (Privacy in Statistical Databases, 2006)

The space of compatible full conditionals is a unimodular toric variety. - Aleksandra B. Slavkovic; Seth Sullivant (J. Symb. Comput., 2006)

Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases. - Aleksandra B. Slavkovic; Yuval Nardi; Matthew M. Tibbits (ICDM Workshops, 2007)

Articulating common ground in cooperative work: content and process. - Gregorio Convertino; Helena M. Mentis; Mary Beth Rosson; John M. Carroll 001; Aleksandra B. Slavkovic; Craig H. Ganoe (CHI, 2008)

Valid Statistical Analysis for Logistic Regression with Multiple Sources. - Stephen E. Fienberg; Yuval Nardi; Aleksandra B. Slavkovic (ISIPS, 2008)

Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies. - Byran J. Smucker; Aleksandra B. Slavkovic (Privacy in Statistical Databases, 2008)

A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries. - Stephen E. Fienberg; Aleksandra B. Slavkovic (Privacy-Preserving Data Mining, 2008)

Supporting content and process common ground in computer-supported teamwork. - Gregorio Convertino; Helena M. Mentis; Mary Beth Rosson; Aleksandra B. Slavkovic; John M. Carroll 001 (CHI, 2009)

Differential Privacy for Clinical Trial Data: Preliminary Evaluations. - Duy Vu; Aleksandra B. Slavkovic (ICDM Workshops, 2009)

Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts. - Aleksandra B. Slavkovic (J. Priv. Confidentiality, 2010)

Privacy Preserving GWAS Data Sharing. - Stephen E. Fienberg; Aleksandra B. Slavkovic; Caroline Uhler (ICDM Workshops, 2011)

Supporting common ground and awareness in emergency management planning: A design research project. - Gregorio Convertino; Helena M. Mentis; Aleksandra B. Slavkovic; Mary Beth Rosson; John M. Carroll 001 (ACM Trans. Comput. Hum. Interact., 2011)

Data Privacy and Confidentiality. - Stephen E. Fienberg; Aleksandra B. Slavkovic (International Encyclopedia of Statistical Science, 2011)

Algebraic Statistics. - Sonja Petrovic; Aleksandra B. Slavkovic (International Encyclopedia of Statistical Science, 2011)

Differentially Private Graphical Degree Sequences and Synthetic Graphs. - Vishesh Karwa; Aleksandra B. Slavkovic (Privacy in Statistical Databases, 2012)

Logistic Regression with Variables Subject to Post Randomization Method. - Yong Ming Jeffrey Woo; Aleksandra B. Slavkovic (Privacy in Statistical Databases, 2012)

Differentially Private Synthetic graphs - Vishesh Karwa; Aleksandra B. Slavkovic (CoRR, 2012)

Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy. - Aleksandra B. Slavkovic; Adam D. Smith 001 (J. Priv. Confidentiality, 2012)

Privacy-Preserving Data Sharing for Genome-Wide Association Studies. - Caroline Uhler; Aleksandra B. Slavkovic; Stephen E. Fienberg (J. Priv. Confidentiality, 2013)

Differentially Private Exponential Random Graphs. - Vishesh Karwa; Aleksandra B. Slavkovic; Pavel N. Krivitsky (Privacy in Statistical Databases, 2014)

10 Simple Rules for the Care and Feeding of Scientific Data. - 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; et al. (CoRR, 2014)

Scalable privacy-preserving data sharing methodology for genome-wide association studies. - Fei Yu 005; Stephen E. Fienberg; Aleksandra B. Slavkovic; Caroline Uhler (J. Biomed. Informatics, 2014)

Ten Simple Rules for the Care and Feeding of Scientific Data. - 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; et al. (PLoS Comput. Biol., 2014)

Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models. - Vishesh Karwa; Pavel N. Krivitsky; Aleksandra B. Slavkovic (CoRR, 2015)

Private Posterior distributions from Variational approximations. - Vishesh Karwa; Dan Kifer; Aleksandra B. Slavkovic (CoRR, 2015)

Accurate Estimation of Structural Equation Models with Remote Partitioned Data. - Joshua Snoke; Timothy R. Brick; Aleksandra B. Slavkovic (PSD, 2016)

Differentially Private Uniformly Most Powerful Tests for Binomial Data. - Jordan Awan; Aleksandra B. Slavkovic (NeurIPS, 2018)

Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data. - Michelle Pistner; Aleksandra B. Slavkovic; Lars Vilhuber (PSD, 2018)

pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity. - Joshua Snoke; Aleksandra B. Slavkovic (PSD, 2018)

A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms. - Bai Li; Vishesh Karwa; Aleksandra B. Slavkovic; Rebecca Carter Steorts (J. Priv. Confidentiality, 2018)

Remembering Stephen Fienberg. - Aleksandra B. Slavkovic; Lars Vilhuber (J. Priv. Confidentiality, 2018)

Redesigning PopMedNetTM for distributed regression analysis with vertically partitioned data. - Qoua L. Her; Yuji Samizo; Thomas Kent; Aleksandra B. Slavkovic; Mia Gallagher; Darren Toh (AMIA, 2019)

Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA. - Jordan Awan; Ana Kenney; Matthew Reimherr; Aleksandra B. Slavkovic (ICML, 2019)

Formal Privacy for Functional Data with Gaussian Perturbations. - Ardalan Mirshani; Matthew Reimherr; Aleksandra B. Slavkovic (ICML, 2019)

Program for TPDP 2016. - Gilles Barthe; Christos Dimitrakakis; Marco Gaboardi; Andreas Haeberlen; Aaron Roth 001; Aleksandra B. Slavkovic (J. Priv. Confidentiality, 2019)

Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data. - Jeremy Seeman; Aleksandra B. Slavkovic; Matthew Reimherr (PSD, 2020)

Differentially Private Inference for Binomial Data. - Jordan Awan; Aleksandra B. Slavkovic (J. Priv. Confidentiality, 2020)

Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms. - Jeremy Seeman; Matthew Reimherr; Aleksandra B. Slavkovic (NeurIPS, 2021)

Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model. - Jonathan Hehir; Aleksandra B. Slavkovic; Xiaoyue Niu (CoRR, 2021)

Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy. - Aleksandra B. Slavkovic; Roberto Molinari (CoRR, 2021)

Shape And Structure Preserving Differential Privacy. - Carlos Soto 002; Karthik Bharath; Matthew Reimherr; Aleksandra B. Slavkovic (NeurIPS, 2022)

A Formal Privacy Framework for Partially Private Data. - Jeremy Seeman; Aleksandra B. Slavkovic; Matthew Reimherr (CoRR, 2022)

Statistical Data Privacy: A Song of Privacy and Utility. - Aleksandra B. Slavkovic; Jeremy Seeman (CoRR, 2022)

Perfect Spectral Clustering with Discrete Covariates. - Jonathan Hehir; Xiaoyue Niu; Aleksandra B. Slavkovic (CoRR, 2022)

Consistent Spectral Clustering of Network Block Models under Local Differential Privacy. - Jonathan Hehir; Aleksandra B. Slavkovic; Xiaoyue Niu (J. Priv. Confidentiality, 2022)

A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables. - Michelle Nixon; Andrés F. Barrientos; Jerome P. Reiter; Aleksandra B. Slavkovic (J. Priv. Confidentiality, 2022)

Assessing Utility of Differential Privacy for RCTs. - Soumya Mukherjee; Aratrika Mustafi; Aleksandra B. Slavkovic; Lars Vilhuber (CoRR, 2023)

Differentially Private Quantile Regression. - Tran Tran; Matthew Reimherr; Aleksandra B. Slavkovic (PSD, 2024)

Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. - John M. Abowd; Cynthia Dwork; Alan F. Karr; Kobbi Nissim; Jerome P. Reiter; Aleksandra B. Slavkovic; Lars Vilhuber (J. Priv. Confidentiality, 2024)

Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation. - Carlos J. Soto 002; Matthew Reimherr; Aleksandra B. Slavkovic; Mark Shriver (ICLR, 2025)

Changes to the Journal of Privacy and Confidentiality. - John M. Abowd; Cynthia Dwork; Alan F. Karr; Jerome P. Reiter; Aleksandra B. Slavkovic (J. Priv. Confidentiality, 2025)

Interpreting Network Differential Privacy. - Jonathan Hehir; Xiaoyue Niu; Aleksandra B. Slavkovic (CoRR, 2025)