We consider Markov Decision Processes (MDPs) as transformers on probability distributions, where with respect to a scheduler that resolves nondeterminism, the MDP can be seen as ex...
Vijay Anand Korthikanti, Mahesh Viswanathan, Gul A...
CTC is a toy cipher designed in order to assess the strength of algebraic attacks. While the structure of CTC is deliberately weak with respect to algebraic attacks, it was claimed...
In this paper, a method is introduced how to process the Discrete Fourier Transform (DFT) by a singlelayer neural network with a linear transfer function. By implementing the sugg...
Abstract. We propose an efficient technique for the detection of errors in cryptographic circuits introduced by strong adversaries. Previously a number of linear and nonlinear err...
Zhen Wang, Mark G. Karpovsky, Berk Sunar, Ajay Jos...
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...