Abstract is missing.
- α , β-Privacy: A Composable Formulation of Privacy Guarantees for Data Publishing Based on PermutationNicolás Ruiz. 3-20 [doi]
- ε-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility)Krishnamurty Muralidhar, Josep Domingo-Ferrer, Sergio Martínez. 21-31 [doi]
- A Bayesian Nonparametric Approach to Differentially Private DataFadhel Ayed, Marco Battiston, Giuseppe Di Benedetto. 32-48 [doi]
- A Partitioned Recoding Scheme for Privacy Preserving Data PublishingChris Clifton, Eric J. Hanson, Keith Merrill, Shawn Merrill, Amjad Zahraa. 49-61 [doi]
- Explaining Recurrent Machine Learning Models: Integral Privacy RevisitedVicenç Torra, Guillermo Navarro-Arribas, Edgar Galván. 62-73 [doi]
- Utility-Enhancing Flexible Mechanisms for Differential PrivacyVaikkunth Mugunthan, Wanyi Xiao, Lalana Kagal. 74-90 [doi]
- Plausible DeniabilityDavid Sidi, Jane Bambauer. 91-105 [doi]
- Analysis of Differentially-Private Microdata Using SIMEXAnne-Sophie Charest, Leila Nombo. 109-120 [doi]
- An Analysis of Different Notions of Effectiveness in k-AnonymityTanja Sarcevic, David Molnar, Rudolf Mayer. 121-135 [doi]
- Multivariate Top-Coding for Statistical Disclosure LimitationAnna Oganian, Ionut Iacob, Goran Lesaja. 136-148 [doi]
- Calculation of Risk Probabilities for the Cell Key MethodTobias Enderle, Sarah Giessing, Reinhard Tent. 151-165 [doi]
- On Different Formulations of a Continuous CTA ModelGoran Lesaja, Ionut Iacob, Anna Oganian. 166-179 [doi]
- Privacy Analysis of Query-Set-Size ControlEyal Nussbaum, Michael Segal 0001. 183-194 [doi]
- Statistical Disclosure Control When Publishing on Thematic MapsDouwe Hut, Jasper Goseling, Marie-Colette van Lieshout, Peter-Paul de Wolf, Edwin de Jonge. 195-205 [doi]
- Bayesian Modeling for Simultaneous Regression and Record LinkageJiurui Tang, Jerome P. Reiter, Rebecca C. Steorts. 209-223 [doi]
- Probabilistic Blocking and Distributed Bayesian Entity ResolutionTed Enamorado, Rebecca C. Steorts. 224-239 [doi]
- Secure Matrix Computation: A Viable Alternative to Record Linkage?Jörg Drechsler, Benjamin Klein. 240-254 [doi]
- A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy ImplicationsClaire McKay Bowen, Victoria Bryant, Leonard Burman, Surachai Khitatrakun, Robert McClelland, Philip Stallworth, Kyle Ueyama, Aaron R. Williams. 257-270 [doi]
- Integrating Differential Privacy in the Statistical Disclosure Control Tool-Kit for Synthetic Data ProductionNatalie Shlomo. 271-280 [doi]
- Advantages of Imputation vs. Data Swapping for Statistical Disclosure ControlSatkartar K. Kinney, Charlotte B. Looby, Feng Yu. 281-296 [doi]
- Evaluating Quality of Statistical Disclosure Control Methods - VIOLAS FrameworkOlga Dziegielewska. 299-308 [doi]
- Detecting Bad Answers in Survey Data Through Unsupervised Machine LearningNajeeb Moharram Jebreel, Rami Haffar, Ashneet Khandpur Singh, David Sánchez 0001, Josep Domingo-Ferrer, Alberto Blanco-Justicia. 309-320 [doi]
- Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census DataJeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr. 323-336 [doi]
- Differential Privacy and Its Applicability for Official Statistics in Japan - A Comparative Study Using Small Area Data from the Japanese Population CensusShinsuke Ito, Takayuki Miura, Hiroto Akatsuka, Masayuki Terada. 337-352 [doi]
- Disclosure Avoidance in the Census Bureau's 2010 Demonstration Data ProductDavid Van Riper, Tracy A. Kugler, Steven Ruggles. 353-368 [doi]