We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
ing Abstraction to Improve Fault Tolerance MIGUEL CASTRO Microsoft Research and RODRIGO RODRIGUES and BARBARA LISKOV MIT Laboratory for Computer Science Software errors are a major...
Very few public-key cryptosystems are known that can encrypt and decrypt in time b2+o(1) with conjectured security level 2b against conventional computers and quantum computers. Th...
Daniel J. Bernstein, Tanja Lange, Christiane Peter...
In this paper, we introduce a new approach to passive-warden steganography in which the sender embeds the secret message into a certain subset of the cover object without having t...
Jessica J. Fridrich, Miroslav Goljan, David Soukal
We show that Yao’s XOR Lemma, and its essentially equivalent rephrasing as a Direct Product Lemma, can be re-interpreted as a way of obtaining error-correcting codes with good l...