PPT-Oblivious Data Structures
Author : sherrill-nordquist | Published Date : 2015-10-28
Xiao Shaun Wang Kartik Nayak Chang Liu TH Hubert Chan Elaine Shi Emil Stefanov Yan Huang 1 Emails Photos Videos Financial data Medical records Genome data
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Oblivious Data Structures: Transcript
Xiao Shaun Wang Kartik Nayak Chang Liu TH Hubert Chan Elaine Shi Emil Stefanov Yan Huang 1 Emails Photos Videos Financial data Medical records Genome data Sensitive Data in the Cloud. : Parallel Secure Computation Made Easy. . Kartik . Nayak. With Xiao . Shaun . Wang, . Stratis. Ioannidis, Udi . Weinsberg. , Nina Taft, Elaine Shi. 1. 2. Users. Data. Data. Privacy concern!. Data Mining Engine. Anthony . Cozzie. , Frank Stratton, . Hui. . Xue. , Sam King. University of Illinois at Urbana-Champaign. The Current Antivirus Situation. Virus Stealth Techniques. Signature checkers are basically . via . Oblivious Access on Distributed Data Structure. Thang . Hoang. . EECS. , Oregon State . University. Corvallis, Oregon, 97331. hoangmin@eecs.oregonstate.edu. 1. Attila Altay . Yavuz. . EECS. , Oregon State . A Dissection and Experimental Evaluation. Zhao Chang, Dong Xie, Feifei Li. Introduction. A lot of “. big. ” data. Rise of . cloud computing. Pay-as-you-go model . for . public clouds. Outsourced. Fall . 2015. See online syllabus (also available through . BlueLine. ). : . . http://dave-reed.com/csc321. Course goals:. To understand fundamental data structures (lists, stacks, queues, sets, maps, and linked structures) and be able to implement software solutions to problems using these data structures. . ECE/CS 498AM. University of Illinois. Problem:. Software piracy. Oded. . Goldreich. :. Existing “solutions” are ad-hoc. What is the minimal protected hardware required?. Approach:. Physically-shielded (i.e., tamper-proof) CPU. . Kartik . Nayak. With Xiao . Shaun . Wang, . Stratis. Ioannidis, Udi . Weinsberg. , Nina Taft, Elaine Shi. 1. 2. Users. Data. Data. Privacy concern!. Data Mining Engine. Data Model. Data Mining on User Data. . Kartik . Nayak. With Xiao . Shaun . Wang, . Stratis. Ioannidis, Udi . Weinsberg. , Nina Taft, Elaine Shi. 1. 2. Users. Data. Data. Privacy concern!. Data Mining Engine. Data Model. Data Mining on User Data. Xiao Shaun Wang, . Kartik . Nayak. , Chang Liu, T-H. Hubert Chan, Elaine Shi, Emil . Stefanov. , Yan Huang. 1. Emails. Photos. Videos. Financial data. Medical records. Genome data. ……. Sensitive Data in the Cloud. with Applications to . Private Set Intersection. Vladimir Kolesnikov (Bell Labs), . Ranjit Kumaresan (MIT), . Mike Rosulek (Oregon State University). Ni Trieu . (Oregon State University). 1. Private Set Intersection (PSI). Graph Data Structures " Unless in communicating with it [a computer] one says exactly what one means, trouble is bound to result. " - Alan Turing CLRS, Section 22.1 Early Graph Theory Problem Leonhard Euler (1707 - 1783) Graph Data Structures " Unless in communicating with it [a computer] one says exactly what one means, trouble is bound to result. " - Alan Turing Early Graph Theory Problem Leonhard Euler (1707 - 1783) www.asyrani.com. /data. Please forget that you get low/high. marks for C Programming class. 1. 2. 3. Set up in your mind right now, this subject is the most interesting!!!. Things you must have:. Visual C++ 2010 Edition. Lecture . 13: . Introduction to Graphs. Dan Grossman. Fall 2013. Graphs. A graph is a formalism for representing relationships among items. Very general definition because very general concept. A . graph.
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