• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 181 matches

• 2023
• 
  Gary Benedetto, Evan Totty:
  Synthesizing Familial Linkages for Privacy in Microdata. J. Priv. Confidentiality 13(1) (2023)
• 
  Rachel Cummings, Gabriel Kaptchuk, Elissa M. Redmiles:
  "I need a better description": An Investigation Into User Expectations For Differential Privacy. J. Priv. Confidentiality 13(1) (2023)
• 
  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 13(2) (2023)
• 
  Elizabeth Green, Felix Ritchie:
  The present and future of the Five Safes framework. J. Priv. Confidentiality 13(2) (2023)
• 
  Elizabeth Green, Felix Ritchie:
  Using pedagogical and psychological insights to train analysts using confidential data. J. Priv. Confidentiality 13(2) (2023)
• 
  MohammadMahdi Jahanara, Vahid R. Asadi, Marco Carmosino, Akbar Rafiey, Bahar Salamatian:
  Private Boosted Decision Trees via Smooth Re-Weighting. J. Priv. Confidentiality 13(1) (2023)
• 
  Joy Bohyun Jang, Amy M. Pienta, Margaret Levenstein, Joe Saul:
  Restricted data management: the current practice and the future. J. Priv. Confidentiality 13(2) (2023)
• 
  Sebastian Karcher, Sefa Secen, Nicholas Weber:
  Protecting Sensitive Data Early in the Research Data Lifecycle. J. Priv. Confidentiality 13(2) (2023)
• 
  John E. Marcotte, Sarah Rush, Kelly Ogden-Schuette:
  Tiered Access to Research Data for Secondary Analysis. J. Priv. Confidentiality 13(2) (2023)
• 
  Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala:
  Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy. J. Priv. Confidentiality 13(1) (2023)
• 
  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 13(2) (2023)
• 2022
• 
  Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia:
  Overlook: Differentially Private Exploratory Visualization for Big Data. J. Priv. Confidentiality 12(1) (2022)
• 
  Clément L. Canonne, Gautam Kamath, Thomas Steinke:
  Discrete Gaussian for Differential Privacy. J. Priv. Confidentiality 12(1) (2022)
• 
  Ruobin Gong:
  Exact Inference with Approximate Computation for Differentially Private Data via Perturbations. J. Priv. Confidentiality 12(2) (2022)
• 
  Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu:
  Consistent Spectral Clustering of Network Block Models under Local Differential Privacy. J. Priv. Confidentiality 12(2) (2022)
• 
  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 12(1) (2022)
• 
  Christian Janos Lebeda, Martin Aumüller, Rasmus Pagh:
  Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access. J. Priv. Confidentiality 12(2) (2022)
• 
  Kobbi Nissim, Chao Yan:
  The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model. J. Priv. Confidentiality 12(2) (2022)
• 
  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 12(1) (2022)
• 
  Anushka Vidanage, Thilina Ranbaduge, Peter Christen, Rainer Schnell:
  Taxonomy of Attacks on Privacy-Preserving Record Linkage. J. Priv. Confidentiality 12(1) (2022)
• 2021
• 
  Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding:
  Synthetic Data Generation with Differential Privacy via Bayesian Networks. J. Priv. Confidentiality 11(3) (2021)
• 
  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 11(1) (2021)
• 
  Albert Cheu, Adam D. Smith, Jonathan R. Ullman:
  Manipulation Attacks in Local Differential Privacy. J. Priv. Confidentiality 11(1) (2021)
• 
  Yuval Dagan, Vitaly Feldman:
  Interaction is Necessary for Distributed Learning with Privacy or Communication Constraints. J. Priv. Confidentiality 11(2) (2021)
• 
  Cynthia Dwork, Weijie J. Su, Li Zhang:
  Differentially private false discovery rate control. J. Priv. Confidentiality 11(2) (2021)
• 
  Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin:
  Differentially Private Set Union. J. Priv. Confidentiality 11(3) (2021)
• 
  Michael Harvey:
  Research Data Centres - a Regulator's Perspective. J. Priv. Confidentiality 11(2) (2021)
• 
  Ron S. Jarmin:
  Reflections on the Successes and Challenges of Research Data Centers in Canada and the U.S. J. Priv. Confidentiality 11(1) (2021)
• 
  Ryan McKenna, Gerome Miklau, Daniel Sheldon:
  Winning the NIST Contest: A scalable and general approach to differentially private synthetic data. J. Priv. Confidentiality 11(3) (2021)
• 
  Felix Ritchie:
  Microdata access and privacy: What have we learned over twenty years? J. Priv. Confidentiality 11(1) (2021)

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