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Quantum Computing: Whats It Good For? Scott Aaronson Computer Science Department, UC Berkeley January 10, 2002 aaronson
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The Equivalence of Sampling and Searching Scott Aaronson MIT
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Lower Bounds for Collision and Distinctness with Small Range By: Andris Ambainis {medv, cheskisa}@post.tau.ac.il Mar 17, 2004
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Machine Learning CUNY Graduate Center Lecture 7b: Sampling
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Slide 1 Vitaly Shmatikov CS 378 Hash Functions. slide 2 We’ve Already Seen Hashes In… Every lecture so far! uIntegrity checking in SSL uAs one of applications
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Improved Non-Committing Encryption with Application to Adaptively Secure Protocols joint work with Dana Dachman-Soled (Columbia Univ.), Tal Malkin (Columbia
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Lower Bounds for Collision and Distinctness with Small Range
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C RYPTOGRAPHY Presented by: Noushin Ranjkesh Olinka Bedroya Sharif University of Technology-1391 Department of Physics, Tehran, Iran
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Machine Learning Lecture 23: Statistical Estimation with Sampling Iain Murray’s MLSS lecture on videolectures.net:
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Improved Non-Committing Encryption with Application to Adaptively Secure Protocols
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Lecture 7b: Sampling
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