Aleksandra B. Slavkovic
Orcid: 0000-0003-0497-1771Affiliations:
- Penn State University, Department of Statistics, University Park, PA, USA
- Carnegie Mellon University, Pittsburgh, PA, USA (PhD 2004)
According to our database1,
Aleksandra B. Slavkovic
authored at least 54 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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Bibliography
2024
Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality.
J. Priv. Confidentiality, 2024
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation.
CoRR, 2024
Proceedings of the Privacy in Statistical Databases - International Conference, 2024
2023
2022
A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables.
J. Priv. Confidentiality, 2022
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy.
J. Priv. Confidentiality, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy.
CoRR, 2021
Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model.
CoRR, 2021
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data.
Proceedings of the Privacy in Statistical Databases, 2020
2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA.
Proceedings of the 36th International Conference on Machine Learning, 2019
Redesigning PopMedNetTM for distributed regression analysis with vertically partitioned data.
Proceedings of the AMIA 2019, 2019
2018
J. Priv. Confidentiality, 2018
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity.
Proceedings of the Privacy in Statistical Databases, 2018
Proceedings of the Privacy in Statistical Databases, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2016
Proceedings of the Privacy in Statistical Databases, 2016
2015
Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models.
CoRR, 2015
2014
PLoS Comput. Biol., 2014
Scalable privacy-preserving data sharing methodology for genome-wide association studies.
J. Biomed. Informatics, 2014
Proceedings of the Privacy in Statistical Databases, 2014
2013
J. Priv. Confidentiality, 2013
2012
J. Priv. Confidentiality, 2012
Proceedings of the Privacy in Statistical Databases, 2012
Proceedings of the Privacy in Statistical Databases, 2012
2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Supporting common ground and awareness in emergency management planning: A design research project.
ACM Trans. Comput. Hum. Interact., 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
2010
Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts.
J. Priv. Confidentiality, 2010
2009
Proceedings of the ICDM Workshops 2009, 2009
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009
2008
A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008
Proceedings of the Privacy in Statistical Databases, 2008
Proceedings of the Protecting Persons While Protecting the People, 2008
Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008
2007
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
2006
J. Symb. Comput., 2006
Proceedings of the Privacy in Statistical Databases, 2006
2005
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules.
Data Min. Knowl. Discov., 2005
2004
Proceedings of the Privacy in Statistical Databases: CASC Project International Workshop, 2004
2000
Using a large projection screen as an alternative to head-mounted displays for virtual environments.
Proceedings of the CHI 2000 Conference on Human factors in computing systems, 2000
1999
Proceedings of the CHI '99 Extended Abstracts on Human Factors in Computing Systems, 1999