In a variety of PAC learning models, a tradeoff between time and
information seems to exist: with unlimited time, a small amount of
information suffices, but with time restrictions, more information
sometimes seems to be required.
In addition, it has long been known that there are
concept classes ... more >>>

We show that a pseudo-random number generator,
introduced recently by M. Naor and O. Reingold,
possess one more attractive and useful property.
Namely, it is proved that for almost all values of parameters it
produces a uniformly distributed sequence.
The proof is based on some recent bounds of exponential
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Verifiable random functions (VRFs) are pseudorandom functions where the owner of the seed, in addition to computing the function's value $y$ at any point $x$, can also generate a non-interactive proof $\pi$ that $y$ is correct (relative to so), without compromising pseudorandomness at other points. Being a natural primitive with ... more >>>