Different qualitative models have been proposed for decision under uncertainty in Artificial Intelli gence, but they generally fail to satisfy the princi ple of strict Pareto ...
Classifiers are often used to detect miscreant activities. We study how an adversary can efficiently query a classifier to elicit information that allows the adversary to evade de...
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Hua...
Flexible discriminant analysis (FDA) is a general methodology which aims at providing tools for multigroup non linear classification. It consists in a nonparametric version of dis...
Column generation has become a powerful tool in solving large scale integer programs. It is well known that most of the often reported compatibility issues between pricing subprobl...
Daniel Villeneuve, Jacques Desrosiers, Marco E. L&...
This paper presents a security analysis for data hiding methods based on nested lattice codes, extending the analysis provided by previous works to a more general scenario. The se...