1.4k citations · 4.6k across the 52 of their papers we have counts for
5 papers · 1 filter
A novel classification-selection approach for the self updating of template-based face recognition systems
Giulia Orrù, Gian Luca Marcialis, Fabio Roli
The boosting on the need of security notably increased the amount of possible facial recognition applications, especially due to the success of the Internet of Things (IoT) paradig…
Deep Neural Rejection against Adversarial Examples
Angelo Sotgiu, Ambra Demontis, Marco Melis +4
Despite the impressive performances reported by deep neural networks in different application domains, they remain largely vulnerable to adversarial examples, i.e., input samples t…
Towards Quality Assurance of Software Product Lines with Adversarial Configurations
Paul Temple, Mathieu Acher, Gilles Perrouin +3
Software product line (SPL) engineers put a lot of effort to ensure that, through the setting of a large number of possible configuration options, products are acceptable and well-…
3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis
Lei Li, Zhaoqiang Xia, Xiaoyue Jiang +3
Face presentation attacks have become a major threat to face recognition systems and many countermeasures have been proposed in the past decade. However, most of them are devoted t…
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries
Luca Demetrio, Battista Biggio, Giovanni Lagorio +2
Recent work has shown that deep-learning algorithms for malware detection are also susceptible to adversarial examples, i.e., carefully-crafted perturbations to input malware that…