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FOCS
1990
IEEE
15 years 10 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 7 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
ISCA
2011
IEEE
269views Hardware» more  ISCA 2011»
14 years 10 months ago
Crafting a usable microkernel, processor, and I/O system with strict and provable information flow security
High assurance systems used in avionics, medical implants, and cryptographic devices often rely on a small trusted base of hardware and software to manage the rest of the system. ...
Mohit Tiwari, Jason Oberg, Xun Li 0001, Jonathan V...
ICALP
2011
Springer
14 years 9 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
ARESEC
2011
117views more  ARESEC 2011»
14 years 6 months ago
Non-Parallelizable and Non-Interactive Client Puzzles from Modular Square Roots
—Denial of Service (DoS) attacks aiming to exhaust the resources of a server by overwhelming it with bogus requests have become a serious threat. Especially protocols that rely o...
Yves Igor Jerschow, Martin Mauve