Lars Vilhuber chairs a session organized by the Committee on Privacy and Confidentiality and Aleksandra Slavkovic, Penn State University:
Connections Between Privacy Definitions and Arbitrage-Free Pricing Functions — Daniel Kifer, Penn State University
Differentially Private Statistical Inference and Hypothesis Testing — Vishesh Karwa, Carnegie Mellon University
Learning with Differential Privacy: Stability, Learnability, and the Sufficiency and Necessity of ERM Principle — Yu-Xiang Wang, Carnegie Mellon University ; Jing Lei, Carnegie Mellon University ; Stephen E. Fienberg, Carnegie Mellon University
Performance Bounds for Graphical Record Linkage: Can record linkage bounds provide guidance for private synthetic data release? — Rebecca Steorts, Duke University ; Matt Barnes, Carnegie Mellon University ; Willie Neisweigner, Carnegie Mellon University
Discussant: Adam Smith, Penn State University
Lars Vilhuber speaks about “Disclosure Limitation and Confidentiality Protection in Linked Data” at the Center for Interuniversity Research and Analysis of Organizations‘s conference on “Facilitate the access to Quebec data: How and to what ends?” The conference is jointly organized with the Quebec inter-University Centre for Social Statistics (QICSS). The presentation relies on joint work with John M. Abowd and Ian M. Schmutte.
The Cornell NCRN node presents results from the past 5 years on CED²AR, their metadata editor and presentation tool.
Conference website: http://naddiconf.org/2017/
Vilhuber presents on “Confidentiality Protection and Physical Safeguards“. Presentation file is available at http://hdl.handle.net/1813/51487
Vilhuber participates in a workshop by Latin American government and research analysts and data providers, regarding the potential secure use of firm microdata.