Cross-domain learning methods have shown promising
results by leveraging labeled patterns from auxiliary domains
to learn a robust classifier for target domain, which
has a limi...
Dong Xu, Ivor Wai-Hung Tsang, Lixin Duan, Stephen ...
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
Oblivious transfer (OT) is an essential building block for secure multiparty computation when there is no honest majority. In this setting, current protocols for n 3 parties requ...
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
We present a framework for the certification of compilation and of compiled programs. Our approach uses a symbolic transfer functions-based representation of programs, so as to ch...