Search results for "Confidentiality"

Hits ?▲	Authors	Title	Venue	Year	Link
21	Elizabeth Green, Felix Ritchie	The present and future of the Five Safes framework.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Amy M. Pienta, Joy Jang, Margaret Levenstein	Beyond Legal Frameworks and Security Controls For Accessing Confidential Survey Data: Engaging Data Users in Data Protection.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala	Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Elizabeth Green, Felix Ritchie	Using pedagogical and psychological insights to train analysts using confidential data.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Joy Bohyun Jang, Amy M. Pienta, Margaret Levenstein, Joe Saul	Restricted data management: the current practice and the future.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Kathy Etz, Heather Kimmel, Amy Pienta	National Addiction and HIV Data Archive Program: Developing an Approach for Reuse of Sensitive and Confidential Data.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Sebastian Karcher, Sefa Secen, Nicholas Weber	Protecting Sensitive Data Early in the Research Data Lifecycle.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Gary Benedetto, Evan Totty	Synthesizing Familial Linkages for Privacy in Microdata.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Rachel Cummings, Gabriel Kaptchuk, Elissa M. Redmiles	"I need a better description": An Investigation Into User Expectations For Differential Privacy.	J. Priv. Confidentiality	2023	DBLP DOI BibTeX RDF
21	Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu	Consistent Spectral Clustering of Network Block Models under Local Differential Privacy.	J. Priv. Confidentiality	2022	DBLP DOI BibTeX RDF
21	Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia	Overlook: Differentially Private Exploratory Visualization for Big Data.	J. Priv. Confidentiality	2022	DBLP DOI BibTeX RDF
21	Christian Janos Lebeda, Martin Aumüller 0001, Rasmus Pagh	Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access.	J. Priv. Confidentiality	2022	DBLP DOI BibTeX RDF
21	Anushka Vidanage, Thilina Ranbaduge, Peter Christen, Rainer Schnell	Taxonomy of Attacks on Privacy-Preserving Record Linkage.	J. Priv. Confidentiality	2022	DBLP DOI BibTeX RDF
21	Kobbi Nissim, Chao Yan	The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model.	J. Priv. Confidentiality	2022	DBLP DOI BibTeX RDF
21	Ruobin Gong	Exact Inference with Approximate Computation for Differentially Private Data via Perturbations.	J. Priv. Confidentiality	2022	DBLP DOI BibTeX RDF
21	Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert	Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index.	J. Priv. Confidentiality	2022	DBLP DOI BibTeX RDF
21	Clément L. Canonne, Gautam Kamath 0001, Thomas Steinke 0002	Discrete Gaussian for Differential Privacy.	J. Priv. Confidentiality	2022	DBLP DOI BibTeX RDF
21	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	2022	DBLP DOI BibTeX RDF
21	Claire McKay Bowen, Joshua Snoke	Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Ron S. Jarmin	Reflections on the Successes and Challenges of Research Data Centers in Canada and the U.S.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Ergute Bao, Xiaokui Xiao, Jun Zhao 0007, Dongping Zhang, Bolin Ding	Synthetic Data Generation with Differential Privacy via Bayesian Networks.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Ryan McKenna, Gerome Miklau, Daniel Sheldon	Winning the NIST Contest: A scalable and general approach to differentially private synthetic data.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Yuval Dagan, Vitaly Feldman	Interaction is Necessary for Distributed Learning with Privacy or Communication Constraints.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Roxane Silberman	Developing access to confidential data in France: results and new challenges.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Lars Vilhuber	Editorial: Articles, perspectives, and TPDP.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Cynthia Dwork, Weijie J. Su, Li Zhang 0001	Differentially private false discovery rate control.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Albert Cheu, Adam D. Smith, Jonathan R. Ullman	Manipulation Attacks in Local Differential Privacy.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Ryan Rogers 0002, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad	LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Michael Harvey	Research Data Centres - a Regulator's Perspective.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin	Differentially Private Set Union.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Tianhao Wang 0001, Ninghui Li, Zhikun Zhang 0001	DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Lars Vilhuber	Expansion, perspectives, and challenges.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Felix Ritchie	Microdata access and privacy: What have we learned over twenty years?	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Adam Sealfon, Jonathan R. Ullman	Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy.	J. Priv. Confidentiality	2021	DBLP DOI BibTeX RDF
21	Jordan Awan, Aleksandra B. Slavkovic	Differentially Private Inference for Binomial Data.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Yu-Xiang Wang 0003, Borja Balle, Shiva Prasad Kasiviswanathan	Subsampled Rényi Differential Privacy and Analytical Moments Accountant.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Borja Balle, Gilles Barthe, Marco Gaboardi	Privacy Profiles and Amplification by Subsampling.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Aleksandar Nikolov, Lars Vilhuber	Program for TPDP 2018.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Aloni Cohen, Kobbi Nissim	Linear Program Reconstruction in Practice.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Jayadev Acharya, Gautam Kamath 0001, Ziteng Sun, Huanyu Zhang	INSPECTRE: Privately Estimating the Unseen.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Chien-Hung Chien, Alan H. Welsh, John D. Moore	Synthetic Business Microdata - an Australian example.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, Rebecca N. Wright	Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Aidong Adam Ding, Guanhong Miao, Samuel Shangwu Wu	On the Privacy and Utility Properties of Triple Matrix-Masking.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Hassan Jameel Asghar, Ming Ding 0001, Thierry Rakotoarivelo, Sirine Mrabet, Dali Kaafar	Differentially Private Release of Datasets using Gaussian Copula.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pól Mac Aonghusa	The Bounded Laplace Mechanism in Differential Privacy.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Aleksandar Nikolov, Lars Vilhuber	Editorial for Special Issue on the Theory and Practice of Differential Privacy 2018.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Lars Vilhuber	On Privacy in the Age of COVID-19.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Matthew Joseph, Aaron Roth 0001, Jonathan R. Ullman, Bo Waggoner	Local Differential Privacy for Evolving Data.	J. Priv. Confidentiality	2020	DBLP DOI BibTeX RDF
21	Marco Gaboardi	Special Issue on the Theory and Practice of Differential Privacy 2016.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Raj Chetty, John N Friedman	A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits	BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth 0001, Aleksandra B. Slavkovic	Program for TPDP 2016.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Jonathan R. Ullman, Lars Vilhuber	Editorial for Volume 9 Issue 2.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Yue Wang, Daniel Kifer, Jaewoo Lee	Differentially Private Confidence Intervals for Empirical Risk Minimization.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Jonathan R. Ullman, Lars Vilhuber	Program for TPDP 2017.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Zhiwei Steven Wu, Aaron Roth 0001, Katrina Ligett, Bo Waggoner, Seth Neel	Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Cynthia Dwork, Nitin Kohli, Deirdre K. Mulligan	Differential Privacy in Practice: Expose your Epsilons!	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Victor Balcer, Salil P. Vadhan	Differential Privacy on Finite Computers.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Uri Stemmer, Kobbi Nissim	Concentration Bounds for High Sensitivity Functions Through Differential Privacy.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Andrew David Foote, Ashwin Machanavajjhala, Kevin McKinney	Releasing Earnings Distributions using Differential Privacy - Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO).	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Or Sheffet	Differentially Private Ordinary Least Squares.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Mark Bun, Thomas Steinke 0002, Jonathan R. Ullman	Make Up Your Mind: The Price of Online Queries in Differential Privacy.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Yu-Xiang Wang 0003	Per-instance Differential Privacy.	J. Priv. Confidentiality	2019	DBLP DOI BibTeX RDF
21	Cynthia Dwork	Reminiscences.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Yue Wang, Daniel Kifer, Jaewoo Lee, Vishesh Karwa	Statistical Approximating Distributions Under Differential Privacy.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Cynthia Dwork, Jonathan R. Ullman	The Fienberg Problem: How to Allow Human Interactive Data Analysis in the Age of Differential Privacy.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	John M. Abowd	Tribute to Steve Fienberg.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Gilad Amitai, Jerome P. Reiter	Differentially private posterior summaries for linear regression coefficients.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Alan F. Karr	Reminiscences of Steve Fienberg.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Adam Smith	Reminiscences about Steve Fienberg.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Natalie Shlomo	Statistical Disclosure Limitation: New Directions and Challenges.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Aleksandra B. Slavkovic, Lars Vilhuber	Remembering Stephen Fienberg.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Natalie Shlomo	In Honour of Steve and Joyce Fienberg.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Bai Li, Vishesh Karwa, Aleksandra B. Slavkovic, Rebecca Carter Steorts	A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Rebecca Carter Steorts	Memories of Steve Fienberg.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Vishesh Karwa	Steve's influence on my work.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Dan Kifer	Reminiscenses of Steve Fienberg.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Saki Kinney, Alan F. Karr	Public-Use vs. Restricted-Use: An Analysis Using the American Community Survey.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Samuel L. Ventura	Steve Fienberg and Student Research.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Jerome P. Reiter	Reminiscences of Steve Fienberg.	J. Priv. Confidentiality	2018	DBLP DOI BibTeX RDF
21	Mohammad Alaggan, Sébastien Gambs, Anne-Marie Kermarrec	Heterogeneous Differential Privacy.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Gillian M. Raab, Beata Nowok, Chris Dibben	Practical Data Synthesis for Large Samples.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Thomas Steinke 0002, Jonathan R. Ullman	Between Pure and Approximate Differential Privacy.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Samuel S. Wu, Shigang Chen, Deborah L Burr, Long Zhang	A New Data Collection Technique for Preserving Privacy.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Fragkiskos Koufogiannis, Shuo Han 0002, George J. Pappas	Gradual Release of Sensitive Data under Differential Privacy.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith	Calibrating Noise to Sensitivity in Private Data Analysis.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Anne-Sophie Charest, Yiwei Hou	On the Meaning and Limits of Empirical Differential Privacy.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth 0001, Zhiwei Steven Wu	Dual Query: Practical Private Query Release for High Dimensional Data.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Michael Backes 0001, Aniket Kate, Praveen Manoharan 0001, Sebastian Meiser 0001, Esfandiar Mohammadi	AnoA: A Framework for Analyzing Anonymous Communication Protocols.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	John M. Abowd	How Will Statistical Agencies Operate When All Data Are Private?	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Hamid Ebadi, David Sands 0001	Featherweight PINQ.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Marco Gaboardi, Chris J. Skinner	Special Issue on the Theory and Practice of Differential Privacy.	J. Priv. Confidentiality	2016	DBLP DOI BibTeX RDF
21	Stephen E. Fienberg	In This Issue.	J. Priv. Confidentiality	2015	DBLP DOI BibTeX RDF
21	Chong Huang, Lalitha Sankar, Anand D. Sarwate	Designing Incentive Schemes for Privacy-Sensitive Users.	J. Priv. Confidentiality	2015	DBLP DOI BibTeX RDF
21	Jared S. Murray	Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering.	J. Priv. Confidentiality	2015	DBLP DOI BibTeX RDF
21	Martin Klein 0006, Bimal Sinha	Likelihood Based Finite Sample Inference for Singly Imputed Synthetic Data Under the Multivariate Normal and Multiple Linear Regression Models.	J. Priv. Confidentiality	2015	DBLP DOI BibTeX RDF
21	Nicolas Kim	The Effect of Data Swapping on Analyses of American Community Survey Data.	J. Priv. Confidentiality	2015	DBLP DOI BibTeX RDF
21	Shiva Prasad Kasiviswanathan, Adam D. Smith	On the 'Semantics' of Differential Privacy: A Bayesian Formulation.	J. Priv. Confidentiality	2014	DBLP DOI BibTeX RDF
21	Stephen E. Wright, Byran J. Smucker	An Intuitive Formulation and Solution of the Exact Cell-Bounding Problem for Contingency Tables of Conditional Frequencies.	J. Priv. Confidentiality	2014	DBLP DOI BibTeX RDF
21	Bing-Rong Lin, Dan Kifer	Towards a Systematic Analysis of Privacy Definitions.	J. Priv. Confidentiality	2014	DBLP DOI BibTeX RDF