A great deal of interest has been paid to the estimation of time-varying autoregressive (TVAR) parameters. However, when the observations are disturbed by an additive white measur...
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
We construct the first homomorphic signature scheme that is capable of evaluating multivariate polynomials on signed data. Given the public key and a signed data set, there is an...
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
—We present a secure (fully abstract) compilation scheme to compile an object-based high-level language to lowchine code. Full abstraction is achieved by relying on a fine-grain...
Pieter Agten, Raoul Strackx, Bart Jacobs, Frank Pi...