Zobrazeno 1 - 10
of 17 470
pro vyhledávání: '"D'Ambra, A."'
Autor:
Piras, Giorgio, Pintor, Maura, Demontis, Ambra, Biggio, Battista, Giacinto, Giorgio, Roli, Fabio
Recent work has proposed neural network pruning techniques to reduce the size of a network while preserving robustness against adversarial examples, i.e., well-crafted inputs inducing a misclassification. These methods, which we refer to as adversari
Externí odkaz:
http://arxiv.org/abs/2409.01249
In this paper, we propose some Chebyshev polynomials of the 1st-kind which produce optimal bound for a polynomial dependent constant involved in the AMG $V$-cycle error bound and do not require information about the spectrum of matrices. We formulate
Externí odkaz:
http://arxiv.org/abs/2407.09848
Autor:
Mura, Raffaele, Floris, Giuseppe, Scionis, Luca, Piras, Giorgio, Pintor, Maura, Demontis, Ambra, Giacinto, Giorgio, Biggio, Battista, Roli, Fabio
Gradient-based attacks are a primary tool to evaluate robustness of machine-learning models. However, many attacks tend to provide overly-optimistic evaluations as they use fixed loss functions, optimizers, step-size schedulers, and default hyperpara
Externí odkaz:
http://arxiv.org/abs/2407.08806
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification
Autor:
Zhang, Lu, Lambotharan, Sangarapillai, Zheng, Gan, Liao, Guisheng, Demontis, Ambra, Roli, Fabio
Motivated by the superior performance of deep learning in many applications including computer vision and natural language processing, several recent studies have focused on applying deep neural network for devising future generations of wireless net
Externí odkaz:
http://arxiv.org/abs/2407.06807
In this chapter, we describe the Parallel Sparse Computation Toolkit (PSCToolkit), a suite of libraries for solving large-scale linear algebra problems in an HPC environment. In particular, we focus on the tools provided for the solution of symmetric
Externí odkaz:
http://arxiv.org/abs/2406.19754
Autor:
Chen, Zhang, Demetrio, Luca, Gupta, Srishti, Feng, Xiaoyi, Xia, Zhaoqiang, Cinà, Antonio Emanuele, Pintor, Maura, Oneto, Luca, Demontis, Ambra, Biggio, Battista, Roli, Fabio
Thanks to their extensive capacity, over-parameterized neural networks exhibit superior predictive capabilities and generalization. However, having a large parameter space is considered one of the main suspects of the neural networks' vulnerability t
Externí odkaz:
http://arxiv.org/abs/2406.10090
Autor:
De Dominicis, Francesco, Roy, Tanay, Mariani, Ambra, Bal, Mustafa, Casali, Nicola, Colantoni, Ivan, Crisa, Francesco, Cruciani, Angelo, Ferroni, Fernando, Helis, Dounia L, Pagnanini, Lorenzo, Pettinacci, Valerio, Pilipenko, Roman, Pirro, Stefano, Puiu, Andrei, Romanenko, Alexander, Vignati, Marco, Zanten, David v, Zhu, Shaojiang, Grassellino, Anna, Cardani, Laura
Superconducting qubits can be sensitive to abrupt energy deposits caused by cosmic rays and ambient radioactivity. Previous studies have focused on understanding possible correlated effects over time and distance due to cosmic rays. In this study, fo
Externí odkaz:
http://arxiv.org/abs/2405.18355
Autor:
Cinà, Antonio Emanuele, Rony, Jérôme, Pintor, Maura, Demetrio, Luca, Demontis, Ambra, Biggio, Battista, Ayed, Ismail Ben, Roli, Fabio
Adversarial examples are typically optimized with gradient-based attacks. While novel attacks are continuously proposed, each is shown to outperform its predecessors using different experimental setups, hyperparameter settings, and number of forward
Externí odkaz:
http://arxiv.org/abs/2404.19460
Autor:
Bassani, Alessandra, Del Bo, Beatrice, Ferrara, Alfio, Mangini, Marta, Picascia, Sergio, Stefanello, Ambra
The Latin language has received attention from the computational linguistics research community, which has built, over the years, several valuable resources, ranging from detailed annotated corpora to sophisticated tools for linguistic analysis. With
Externí odkaz:
http://arxiv.org/abs/2404.12829
Autor:
Nanni, Ambra, Cristallo, Sergio, Donevski, Darko, Michałowski, Michał J., Romano, Michael, Sawant, Prasad
Aims. We investigate the role of photo-evaporation of dust exposed to the radiation field from hot young stars and planetary nebulae (PNe) as a possible destruction mechanism of dust grains in the interstellar medium (ISM). Methods. We estimate photo
Externí odkaz:
http://arxiv.org/abs/2312.15998