— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
Abstract. We consider the problem of sending messages into the future." Previous constructions for this task were either based on heuristic assumptions or did not provide anon...
Giovanni Di Crescenzo, Rafail Ostrovsky, Sivaramak...
We introduce a novel conditional e-cash protocol allowing future anonymous cashing of bank-issued e-money only upon the satisfaction of an agreedupon public condition. Payers are ...
We consider the problem of securely computing the Greater Than (GT) predicate and its generalization – securely determining membership in a union of intervals. We approach these ...
In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...