PPT-Adaptive Data Analysis via Differential Privacy:

Author : celsa-spraggs | Published Date : 2017-08-11

General Tools for PostSelection Inference Aaron Roth What do we want to protect against Overfitting from fixed algorithmic procedures easiest might hope to analyze

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Adaptive Data Analysis via Differential Privacy:: Transcript

General Tools for PostSelection Inference Aaron Roth What do we want to protect against Overfitting from fixed algorithmic procedures easiest might hope to analyze exactly eg variableparameter selection followed by model fitting. Differential Privacy. Salil Vadhan. Harvard University. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. Thank you . Shafi. & Silvio. For.... inspiring . December . 2, 2014. 1. Required Reading. A firm foundation for private data analysis. . Dwork. , C. Communications of the ACM, 54(1), 86-95. . 2011.. Privacy by the Numbers: A New Approach to Safeguarding Data. Erica . Yotam. . Aron. Table of Contents. Introduction. Differential Privacy for Linked Data. SPIM implementation. Evaluation. Contributions. Theory: how to apply differential privacy to linked data.. Implementation: privacy module for SPARQL queries.. 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. Cynthia Dwork, Microsoft Research . TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. A. A. Pre-Modern Cryptography. Propose. Break. Modern Cryptography. the G. ap Between . C. omputer . S. cience. and . L. egal Approaches . to P. rivacy. Second Census-MIT Big Data Workshop. . Nov 30-Dec 1, 2015. CS LAW. Kobbi. . Nissim. Ben-Gurion University. 2, 2014. 1. Required Reading. A firm foundation for private data analysis. . Dwork. , C. Communications of the ACM, 54(1), 86-95. . 2011.. Privacy by the Numbers: A New Approach to Safeguarding Data. Erica . 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! . Machine Learning, and Back. Abhradeep Guha Thakurta. Yahoo . Labs, Sunnyvale. Thesis: Differential privacy . generalizability. Stable learning . differential privacy. . Towards a rigorous notion of statistical data privacy. Moni. Naor. Weizmann Institute of Science. The Brussels Privacy . Symposium. November 8. th. 2016. What is Differential Privacy. Differential Privacy is a concept . Motivation. Rigorous mathematical definition. Jeremiah Blocki. CS-555. 11/22/2016. Credit: Some slides are from Adam Smith. Differential Privacy. Privacy . in . Statistical. . Databases. Individuals Se. r. v. er/agency. x. 1. x. 2. .. .. .. x. n. Salil Vadhan. Harvard University. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. Thank you . Shafi. & Silvio. For.... inspiring . us with beautiful science.

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