PPT-Using Data Privacy for Better Adaptive Predictions
Author : trish-goza | Published Date : 2017-01-17
Vitaly Feldman IBM Research Almaden Foundations of Learning Theory 2014 Cynthia Dwork Moritz Hardt Omer Reingold Aaron Roth MSR SVC IBM Almaden
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Using Data Privacy for Better Adaptive Predictions: Transcript
Vitaly Feldman IBM Research Almaden Foundations of Learning Theory 2014 Cynthia Dwork Moritz Hardt Omer Reingold Aaron Roth MSR SVC IBM Almaden. Moritz Hardt. IBM Research Almaden. Joint work with Cynthia Dwork, Vitaly Feldman, . Toni Pitassi, Omer Reingold, Aaron Roth. Statistical Estimation. Data domain . X. , class labels . Y. Unknown distribution . Why Share Data?. Hospitals share data with researchers. Learn about disease causes, promising treatments, correlations between symptoms and outcomes. Merchants share data with advertisers/researchers/public. Vitaly Feldman. Accelerated Discovery Lab. IBM Research - . Almaden. . Cynthia . Dwork. Moritz . Hardt. Toni . Pitassi. Omer . Reingold. . Aaron Roth. Microsoft Res. Google Res. U. of Toronto Samsung Res. 3.8 Time Series. What we are looking at now. Very important for Merit AND Excellence!. Fitted vs. Raw. This involves comparing the raw data (black line) with the fitted model (green line).. In particular, we are looking at how well the model fits the data. . General Tools for Post-Selection Inference. Aaron Roth. What do we want to protect against?. Over-fitting from fixed algorithmic procedures (easiest – might hope to analyze exactly). e.g. variable/parameter selection followed by model fitting. Why Share Data?. Hospitals share data with researchers. Learn about disease causes, promising treatments, correlations between symptoms and outcomes. Merchants share data with advertisers/researchers/public. CSH6 Chapter 69. “Privacy in Cyberspace: . U.S. and European Perspectives”. Henry L. Judy, Scott L. David, . Benjamin S. Hayes, Jeffrey B. Ritter, Marc Rotenberg, & M. E. Kabay. Topics. Worldwide Trends. General Tools for Post-Selection Inference. Aaron Roth. From: . Trustworthy-broker@trustme.com. To: . aaroth@cis.upenn.edu. Date: 2/27/15. Subject: Gr8 investment tip!!!. Hi! You don’t know me, but here is a tip! . MJ Vincent. Field Support Specialist . FCMAT/CSIS. Objectives:. Know our obligations and protections:. Federal Law . FERPA. State Law. Local Boards/LEA Policy. Understand CALPADS Application . LEA Admin . rights and obligations of individuals and organizations with respect to the collection, use, retention, disclosure, and destruction of personal information. .. This pertains to the . Privacy of Personal Information. Scatter Plot Review. Using the Regression Line Model to Make Predictions. It’s the responsibility of the news medium to report on important decisions made by newsmakers. Examples include new traffic laws based on the number of accidents, immigration reform based on the number of people emigrating to the U.S., and gas prices based on the supply and demand of oil. These decisions make headlines because of the impact they have on our lives. 2019 International Information Sharing Conference . August 21, 2019. Stuart M. Gerson. Epstein Becker & Green, P.C.. National Council of Registered ISAOs. . Regulatory Background and the Need for Change. John M. Abowd. Cornell University . January 17, 2013. Acknowledgements and Disclaimer. This research uses data from the Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) Program, which was partially supported by the following grants: National Science Foundation (NSF) SES-9978093, SES-0339191 and ITR-0427889; National Institute on Aging AG018854; and grants from the Alfred P. Sloan . Omer Reingold. SRA. Joint with: Cynthia Dwork, . Vitaly. Feldman, Moritz . Hardt. , . Toniann. . Pitassi. , . and Aaron Roth. False discovery — . Just Getting Worse. “Trouble at the Lab” – The Economist .
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