The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...
We propose new and improved instantiations of lossy trapdoor functions (Peikert and Waters, STOC ’08), and correlation-secure trapdoor functions (Rosen and Segev, TCC ’09). Ou...
David Mandell Freeman, Oded Goldreich, Eike Kiltz,...
The nonlinearity profile of a Boolean function (i.e. the sequence of its minimum Hamming distances nlr(f) to all functions of degrees at most r, for r 1) is a cryptographic crite...
The path-delay fault simulation of functional tests on complex circuits such as current processor-based systems is a daunting task. The amount of computing power and memory needed...
Paolo Bernardi, Michelangelo Grosso, Matteo Sonza ...
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...