On Security and Sparsity of Linear Classifiers for Adversarial Settings

Ambra Demontis, Paolo Russu, Battista Biggio +2

Machine-learning techniques are widely used in security-related applications, like spam and malware detection. However, in such settings, they have been shown to be vulnerable to a…