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» When Random Play is Optimal Against an Adversary
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UAI
2008
13 years 9 months ago
A Game-Theoretic Analysis of Updating Sets of Probabilities
We consider how an agent should update her uncertainty when it is represented by a set P of probability distributions and the agent observes that a random variable X takes on valu...
Peter Grünwald, Joseph Y. Halpern
ICITS
2009
13 years 5 months ago
On the Security of Pseudorandomized Information-Theoretically Secure Schemes
In this article, we discuss a naive method of randomness reduction for cryptographic schemes, which replaces the required perfect randomness with output distribution of a computat...
Koji Nuida, Goichiro Hanaoka
SYNASC
2007
IEEE
142views Algorithms» more  SYNASC 2007»
14 years 1 months ago
An Extension of the RSA Trapdoor in a KEM/DEM Framework
A trapdoor based on an extension of the RSA trapdoor is proposed. The same function as in the RSA cryptosystem is used, i.e. x modn, but there is no restriction for the exponent t...
Bogdan Groza
ALGORITHMICA
1999
156views more  ALGORITHMICA 1999»
13 years 7 months ago
Competitive Optimal On-Line Leasing
Consider an on-line player who needs some equipment (e.g., a computer) for an initially unknown number of periods. At the start of each period it is determined whether the player w...
Ran El-Yaniv, R. Kaniel, Nathan Linial
AI
2010
Springer
13 years 4 months ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...