137 citations · 218 across the 12 of their papers we have counts for
4 papers · 1 filter
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng, Paris V. Giampouras, René Vidal
The goal of continual learning is to find a model that solves multiple learning tasks which are presented sequentially to the learner. A key challenge in this setting is that the l…
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions
Darshan Thaker, Paris Giampouras, René Vidal
An important aspect of developing reliable deep learning systems is devising strategies that make these systems robust to adversarial attacks. There is a long line of work that foc…
Reverse Engineering attacks: A block-sparse optimization approach with recovery guarantees
Darshan Thaker, Paris Giampouras, René Vidal
Deep neural network-based classifiers have been shown to be vulnerable to imperceptible perturbations to their input, such as -bounded norm adversarial attacks. This has mo…
Alternating Iteratively Reweighted Minimization Algorithms for Low-Rank Matrix Factorization
Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas
Nowadays, the availability of large-scale data in disparate application domains urges the deployment of sophisticated tools for extracting valuable knowledge out of this huge bulk…