Aleksandra B. Slavkovic

64 papers A* 9C 11Misc 1Journal 35Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Changes to the Journal of Privacy and Confidentiality. J. Priv. Confidentiality John M. Abowd, Cynthia Dwork, Alan F. Karr, Jerome P. Reiter, Aleksandra B. Slavkovic
2025	A*	`conf`	Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation. ICLR Carlos J. Soto, Matthew Reimherr, Aleksandra B. Slavkovic, Mark Shriver
2025	J	`jnl`	Interpreting Network Differential Privacy. CoRR Jonathan Hehir, Xiaoyue Niu, Aleksandra B. Slavkovic
2025	J	`jnl`	Statistics-Friendly Confidentiality Protection for Establishment Data, with Applications to the QCEW. CoRR Kaitlyn Webb, Prottay Protivash, John Durrell, Daniell Toth, Aleksandra B. Slavkovic, Daniel Kifer
2024	C	`conf`	Differentially Private Quantile Regression. PSD Tran Tran, Matthew Reimherr, Aleksandra B. Slavkovic
2024	J	`jnl`	Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation. CoRR Carlos Soto, Matthew Reimherr, Aleksandra B. Slavkovic, Mark Shriver
2024	J	`jnl`	Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. J. Priv. Confidentiality John M. Abowd, Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Jerome P. Reiter, Aleksandra B. Slavkovic, Lars Vilhuber
2023	J	`jnl`	Assessing Utility of Differential Privacy for RCTs. CoRR Soumya Mukherjee, Aratrika Mustafi, Aleksandra B. Slavkovic, Lars Vilhuber
2022	J	`jnl`	A Formal Privacy Framework for Partially Private Data. CoRR Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr
2022	J	`jnl`	A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables. J. Priv. Confidentiality Michelle Nixon, Andrés F. Barrientos, Jerome P. Reiter, Aleksandra B. Slavkovic
2022	J	`jnl`	Consistent Spectral Clustering of Network Block Models under Local Differential Privacy. J. Priv. Confidentiality Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu
2022	J	`jnl`	Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms. CoRR Jeremy Seeman, Matthew Reimherr, Aleksandra B. Slavkovic
2022	J	`jnl`	Perfect Spectral Clustering with Discrete Covariates. CoRR Jonathan Hehir, Xiaoyue Niu, Aleksandra B. Slavkovic
2022	A*	`conf`	Shape And Structure Preserving Differential Privacy. NeurIPS Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra B. Slavkovic
2022	J	`jnl`	Shape And Structure Preserving Differential Privacy. CoRR Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra B. Slavkovic
2022	J	`jnl`	Statistical Data Privacy: A Song of Privacy and Utility. CoRR Aleksandra B. Slavkovic, Jeremy Seeman
2021	J	`jnl`	Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model. CoRR Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu
2021	A*	`conf`	Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms. NeurIPS Jeremy Seeman, Matthew Reimherr, Aleksandra B. Slavkovic
2021	J	`jnl`	Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy. CoRR Aleksandra B. Slavkovic, Roberto Molinari
2020	J	`jnl`	Differentially Private Inference for Binomial Data. J. Priv. Confidentiality Jordan Awan, Aleksandra B. Slavkovic
2020	C	`conf`	Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data. PSD Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr
2019	A*	`conf`	Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA. ICML Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra B. Slavkovic
2019	J	`jnl`	Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA. CoRR Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra B. Slavkovic
2019	J	`jnl`	Differentially Private Inference for Binomial Data. CoRR Jordan Awan, Aleksandra B. Slavkovic
2019	A*	`conf`	Formal Privacy for Functional Data with Gaussian Perturbations. ICML Ardalan Mirshani, Matthew Reimherr, Aleksandra B. Slavkovic
2019	J	`jnl`	Program for TPDP 2016. J. Priv. Confidentiality Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B. Slavkovic
2019	Misc	`conf`	Redesigning PopMedNetTM for distributed regression analysis with vertically partitioned data. AMIA Qoua L. Her, Yuji Samizo, Thomas Kent, Aleksandra B. Slavkovic, Mia Gallagher, Darren Toh
2018	J	`jnl`	A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms. J. Priv. Confidentiality Bai Li, Vishesh Karwa, Aleksandra B. Slavkovic, Rebecca Carter Steorts
2018	A*	`conf`	Differentially Private Uniformly Most Powerful Tests for Binomial Data. NeurIPS Jordan Awan, Aleksandra B. Slavkovic
2018	J	`jnl`	Remembering Stephen Fienberg. J. Priv. Confidentiality Aleksandra B. Slavkovic, Lars Vilhuber
2018	C	`conf`	Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data. PSD Michelle Pistner, Aleksandra B. Slavkovic, Lars Vilhuber
2018	C	`conf`	pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity. PSD Joshua Snoke, Aleksandra B. Slavkovic
2016	C	`conf`	Accurate Estimation of Structural Equation Models with Remote Partitioned Data. PSD Joshua Snoke, Timothy R. Brick, Aleksandra B. Slavkovic
2015	J	`jnl`	Private Posterior distributions from Variational approximations. CoRR Vishesh Karwa, Dan Kifer, Aleksandra B. Slavkovic
2015	J	`jnl`	Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models. CoRR Vishesh Karwa, Pavel N. Krivitsky, Aleksandra B. Slavkovic
2014	J	`jnl`	10 Simple Rules for the Care and Feeding of Scientific Data. CoRR 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
2014	C	`conf`	Differentially Private Exponential Random Graphs. Privacy in Statistical Databases Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky
2014	J	`jnl`	Differentially Private Exponential Random Graphs. CoRR Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky
2014	J	`jnl`	Scalable privacy-preserving data sharing methodology for genome-wide association studies. J. Biomed. Informatics Fei Yu, Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler
2014	J	`jnl`	Ten Simple Rules for the Care and Feeding of Scientific Data. PLoS Comput. Biol. 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
2013	J	`jnl`	Privacy-Preserving Data Sharing for Genome-Wide Association Studies. J. Priv. Confidentiality Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
2012	C	`conf`	Differentially Private Graphical Degree Sequences and Synthetic Graphs. Privacy in Statistical Databases Vishesh Karwa, Aleksandra B. Slavkovic
2012	J	`jnl`	Differentially Private Synthetic graphs CoRR Vishesh Karwa, Aleksandra B. Slavkovic
2012	C	`conf`	Logistic Regression with Variables Subject to Post Randomization Method. Privacy in Statistical Databases Yong Ming Jeffrey Woo, Aleksandra B. Slavkovic
2012	J	`jnl`	Privacy-Preserving Data Sharing for Genome-Wide Association Studies CoRR Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
2012	J	`jnl`	Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy. J. Priv. Confidentiality Aleksandra B. Slavkovic, Adam D. Smith
2011	—	`ch.`	Algebraic Statistics. International Encyclopedia of Statistical Science Sonja Petrovic, Aleksandra B. Slavkovic
2011	—	`ch.`	Data Privacy and Confidentiality. International Encyclopedia of Statistical Science Stephen E. Fienberg, Aleksandra B. Slavkovic
2011	—	`conf`	Privacy Preserving GWAS Data Sharing. ICDM Workshops Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler
2011	J	`jnl`	Supporting common ground and awareness in emergency management planning: A design research project. ACM Trans. Comput. Hum. Interact. Gregorio Convertino, Helena M. Mentis, Aleksandra B. Slavkovic, Mary Beth Rosson, John M. Carroll
2010	J	`jnl`	Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts. J. Priv. Confidentiality Aleksandra B. Slavkovic
2009	—	`conf`	Differential Privacy for Clinical Trial Data: Preliminary Evaluations. ICDM Workshops Duy Vu, Aleksandra B. Slavkovic
2009	A*	`conf`	Supporting content and process common ground in computer-supported teamwork. CHI Gregorio Convertino, Helena M. Mentis, Mary Beth Rosson, Aleksandra B. Slavkovic, John M. Carroll
2008	—	`ch.`	A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries. Privacy-Preserving Data Mining Stephen E. Fienberg, Aleksandra B. Slavkovic
2008	A*	`conf`	Articulating common ground in cooperative work: content and process. CHI Gregorio Convertino, Helena M. Mentis, Mary Beth Rosson, John M. Carroll, Aleksandra B. Slavkovic, Craig H. Ganoe
2008	C	`conf`	Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies. Privacy in Statistical Databases Byran J. Smucker, Aleksandra B. Slavkovic
2008	—	`conf`	Valid Statistical Analysis for Logistic Regression with Multiple Sources. ISIPS Stephen E. Fienberg, Yuval Nardi, Aleksandra B. Slavkovic
2007	—	`conf`	Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases. ICDM Workshops Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. Tibbits
2006	C	`conf`	"Secure" Log-Linear and Logistic Regression Analysis of Distributed Databases. Privacy in Statistical Databases Stephen E. Fienberg, William J. Fulp, Aleksandra B. Slavkovic, Tracey A. Wrobel
2006	J	`jnl`	The space of compatible full conditionals is a unimodular toric variety. J. Symb. Comput. Aleksandra B. Slavkovic, Seth Sullivant
2005	J	`jnl`	Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules. Data Min. Knowl. Discov. Stephen E. Fienberg, Aleksandra B. Slavkovic
2004	C	`conf`	Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies. Privacy in Statistical Databases Aleksandra B. Slavkovic, Stephen E. Fienberg
2000	A*	`conf`	Using a large projection screen as an alternative to head-mounted displays for virtual environments. CHI Emilee Patrick, Dennis Cosgrove, Aleksandra B. Slavkovic, Jennifer Ann Rode, Thom Verratti, Greg Chiselko
1999	—	`conf`	Novice heuristic evaluations of a complex interface. CHI Extended Abstracts Aleksandra B. Slavkovic, Karen Cross