PPT-Optimal Rate Private Information Retrieval from Homomorphic

Author : trish-goza | Published Date : 2017-10-22

Aggelos Kiayias Nikos Leonardos Helger Lipmaa Kateryna Pavlyk and Qiang Tang Estonian Theory Days Oct 2 2015 motivation I am boooored I want to watch a movie

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Optimal Rate Private Information Retriev..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Optimal Rate Private Information Retrieval from Homomorphic: Transcript

Aggelos Kiayias Nikos Leonardos Helger Lipmaa Kateryna Pavlyk and Qiang Tang Estonian Theory Days Oct 2 2015 motivation I am boooored I want to watch a movie Bob sells them. 0368-4474-01, . Winter 2011. Lecture 14:. More on vulnerability and exploits,. Fully . homomorphic. encryption. Eran. . Tromer. Slides credit: . Vinod. . Vaikuntanathan. (U. Toronto). More on vulnerability exploitation. CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Retrieval Models. Model is an idealization or abstraction of an actual process. in this case, process is matching of documents with queries, i.e., retrieval. INST 734. Module 3. Doug . Oard. Agenda. Ranked retrieval. Similarity-based ranking. Probability-based ranking. Boolean Retrieval. Strong points. Accurate, . if you know the right strategies. Efficient for the computer. CSC . 575. Intelligent Information Retrieval. 2. Source: . Intel. How much information?. Google: . ~100 . PB a . day; 3+ million servers (15 . Exabytes. stored). Wayback Machine has . ~9 . PB + . 100 . Radu Sion, Bogdan Carbunar. Presented by . Sultan Moukli. 1. Agenda . Introduction. Privacy information retrieval. Building Blocks . Fast modular arithmetic. Quadratic Residuosity PIR . cPIR. Key size . Information. Miles Efron, Jana . Diesner. , Peter . Organisciak. , Garrick Sherman, Ana . Lucic. {. mefron. , et al.}@. illinois.edu. GSLIS 2012. TREC: The Text REtrieval Conference. NIST. Web. Legal. Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . ChengXiang. (“Cheng”) . . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. . Email: czhai@illinois.edu. 1. Yahoo!-DAIS Seminar, UIUC. Hongning. Wang. CS@UVa. What is information retrieval?. CS6501: Information Retrieval. CS@UVa. 2. Why information retrieval . Information overload. “. It refers to the . difficulty. a person can have understanding an issue and making decisions that can be caused by the presence of . All slides ©Addison Wesley, 2008. How Much Data is Created Every . Minute?. Source: . https. ://www.domo.com/blog/2012/06/how-much-data-is-created-every-minute/. The Search Problem. Search and Information Retrieval. What is IR?. Sit down before fact as a little child, . be prepared to give up every conceived notion, . follow humbly wherever and whatever abysses nature leads, . or you will learn nothing. . . -- Thomas Huxley --. Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. . Student: Q.D. MCGAW. Supervisors: . Dr.. Wei Dai and . Dr.. Cong Ling. Second marker: Professor . Athanassios. . Manikas. 20 June 2016. Provide a general purpose C++ API for homomorphic encryption and cloud computing. Amir . Houmansadr. CS660: Advanced Information Assurance. Spring 2015. Content may be borrowed from other resources. . See the last slide for acknowledgements!. AOL search data scandal (2006). #4417749:.

Download Document

Here is the link to download the presentation.
"Optimal Rate Private Information Retrieval from Homomorphic"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.