PDF-Smooth Sensitivity and Sampling in Private Data Analysis Kobbi Nissim Dept

of Computer Science BenGurion University of the Negev kobbicsbguacil Sofya Raskhodnikova Dept of Computer Science and Engineering Pennsylvania State University sofyacsepsuedu Adam Smith Dept of Computer Science and Engineering Pennsylvania State Uni. Christodoulou and . Koutsoupias. ,. Roughgarden. Slides stolen/modified from Tim . Roughgarden. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. PRODUCT OVERVIEW Smooth-On Smooth-Sil Prepared by:. . Jomar M. Urbano. 2SED-SC. Ms. . Aimie. M. Aquino. Professor. Learning Objectives:. Describe Smooth Endoplasmic Reticulum (SER) in terms of structure.. Functions of . Smooth Endoplasmic Reticulum . j.zhang. , . g.cormode. , . m.procopiuc. , . d.Srivastava. , . x.xiao. Overview. The Problem: Private Release of Graph Statistics. Differential Privacy on Graph. Two “Solutions”: Global Sensitivity (GS) and Local Sensitivity (LS). Jake Blanchard. Fall . 2010. Introduction. Sensitivity Analysis = the study of how uncertainty in the output of a model can be apportioned to different input parameters. Local sensitivity = focus on sensitivity at a particular set of input parameters, usually using gradients or partial derivatives. Rare . Event. Analysis with Multiple Failure Region Coverage. Wei Wu. 1. , Srinivas Bodapati. 2. , Lei He. 1,3. 1 Electrical Engineering Department, UCLA. 2 Intel Corporation. 3 . State . Key Laboratory of ASIC and Systems, . Thorsten Wagener. thorsten.wagener@bristol.ac.uk. With Francesca . Pianosi. Francesca.pianosi. @bristol.ac.uk. My background. Civil engineering with focus on hydrology. University of Siegen, TU Delft, Imperial College London. Jared Brewer, Emily Fischer, . Christoph. Keller, Makoto Kelp,. Matt Bishop, A.R. . Ravishankara. Special thanks to:. Melissa . Sulprizio. , Bob . Yantosca. j. ared.brewer@colostate.edu. This work was supported by NASA Award . James S. Strand. The University of Texas at Austin. Funding and Computational Resources Provided by the Department of Energy through the PSAAP Program. Predictive Engineering and Computational Sciences. EPI 811 Individual Presentation. Chapter 10 of . Szklo. and Nieto’s . Epidemiology: Beyond the Basics. Anton Frattaroli. Sensitivity Analysis. Generally, an assessment of how systematic or random errors affect an effect estimates’ representativeness of the actual effect (the validity of the effect estimate).. 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. CORE REVISION SHEETS Bleedproof paper is smooth and has a special coating to reduce absorbency When drawing with a marker pen or writing with ink, the paper keeps the ink on the surface which creates Ke. Yi. Hong Kong University of Science and Technology. yike@ust.hk. Random Sampling on Big Data. 2. “Big Data” in one slide. The 3 V’s. : . Volume. External memory algorithms. Distributed data. Prepared for:. Agency for Healthcare Research and Quality (AHRQ). www.ahrq.gov. This presentation will:. Propose and describe planned sensitivity analyses. Describe important subpopulations in which measures of effect will be assessed for homogeneity .