Zobrazeno 1 - 10
of 3 258
pro vyhledávání: '"Rossolini, A."'
Distributed learning frameworks, which partition neural network models across multiple computing nodes, enhance efficiency in collaborative edge-cloud systems but may also introduce new vulnerabilities. In this work, we explore the feasibility of gen
Externí odkaz:
http://arxiv.org/abs/2411.10500
Today's large language models (LLMs) can solve challenging question-answering tasks, and prompt engineering techniques, such as chain-of-thought (CoT), have gained attention for enhancing the explanation and correctness of outputs. Nevertheless, mode
Externí odkaz:
http://arxiv.org/abs/2407.19825
Deep neural networks exhibit excellent performance in computer vision tasks, but their vulnerability to real-world adversarial attacks, achieved through physical objects that can corrupt their predictions, raises serious security concerns for their a
Externí odkaz:
http://arxiv.org/abs/2311.11191
Autor:
Massimo Sartelli, Carlo Tascini, Federico Coccolini, Fabiana Dellai, Luca Ansaloni, Massimo Antonelli, Michele Bartoletti, Matteo Bassetti, Federico Boncagni, Massimo Carlini, Anna Maria Cattelan, Arturo Cavaliere, Marco Ceresoli, Alessandro Cipriano, Andrea Cortegiani, Francesco Cortese, Francesco Cristini, Eugenio Cucinotta, Lidia Dalfino, Gennaro De Pascale, Francesco Giuseppe De Rosa, Marco Falcone, Francesco Forfori, Paola Fugazzola, Milo Gatti, Ivan Gentile, Lorenzo Ghiadoni, Maddalena Giannella, Antonino Giarratano, Alessio Giordano, Massimo Girardis, Claudio Mastroianni, Gianpaola Monti, Giulia Montori, Miriam Palmieri, Marcello Pani, Ciro Paolillo, Dario Parini, Giustino Parruti, Daniela Pasero, Federico Pea, Maddalena Peghin, Nicola Petrosillo, Mauro Podda, Caterina Rizzo, Gian Maria Rossolini, Alessandro Russo, Loredana Scoccia, Gabriele Sganga, Liana Signorini, Stefania Stefani, Mario Tumbarello, Fabio Tumietto, Massimo Valentino, Mario Venditti, Bruno Viaggi, Francesca Vivaldi, Claudia Zaghi, Francesco M. Labricciosa, Fikri Abu-Zidan, Fausto Catena, Pierluigi Viale
Publikováno v:
World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-36 (2024)
Abstract Intra-abdominal infections (IAIs) are common surgical emergencies and are an important cause of morbidity and mortality in hospital settings, particularly if poorly managed. The cornerstones of effective IAIs management include early diagnos
Externí odkaz:
https://doaj.org/article/0f6ae0bf05e7479f8dfb485698644009
Autor:
D'Amico, Gianluca, Marinoni, Mauro, Nesti, Federico, Rossolini, Giulio, Buttazzo, Giorgio, Sabina, Salvatore, Lauro, Gianluigi
The railway industry is searching for new ways to automate a number of complex train functions, such as object detection, track discrimination, and accurate train positioning, which require the artificial perception of the railway environment through
Externí odkaz:
http://arxiv.org/abs/2302.14486
Autor:
Greta Ponsecchi, Tommaso Olimpieri, Noemi Poerio, Alberto Antonelli, Marco Coppi, Gustavo Di Lallo, Mariangela Gentile, Eugenio Paccagnini, Pietro Lupetti, Claudio Lubello, Gian Maria Rossolini, Maurizio Fraziano, Marco Maria D’Andrea
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
The global dissemination of multi-drug resistant (MDR) pathogenic bacteria requires the rapid research and development of alternative therapies that can support or replace conventional antibiotics. Among MDR pathogens, carbapenem-resistant Klebsiella
Externí odkaz:
https://doaj.org/article/35d8218695d34f1e9f4fde62f89c7c53
Autor:
Francisco González-Espinosa, Vincenzo Di Pilato, Francisco Magariños, Jose Di Conza, Gian Maria Rossolini, Gabriel Gutkind, Marcela Radice, Daniela Cejas
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 37, Iss , Pp 176-178 (2024)
ABSTRACT: Objectives: To describe at genomic level nine carbapenemase-producing Klebsiella pneumoniae ST307 (Kp-ST307) clinical isolates recovered in Buenos Aires during 2017 to 2021, investigating their resistome, virulome, and phylogeny. Methods: A
Externí odkaz:
https://doaj.org/article/d3bbf7f62bbc41a88232f0e3e7625e93
The use of neural networks in safety-critical systems requires safe and robust models, due to the existence of adversarial attacks. Knowing the minimal adversarial perturbation of any input x, or, equivalently, knowing the distance of x from the clas
Externí odkaz:
http://arxiv.org/abs/2209.04293
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 36, Iss , Pp 123-131 (2024)
Objectives: Metallo-β-lactamase (MBL)-producing Enterobacterales are a major challenge worldwide due to limited treatment options. Aztreonam-avibactam (ATM-AVI), which is under clinical development, has shown activity against MBL-positive isolates.
Externí odkaz:
https://doaj.org/article/1f755d5c3f2d4729980f091230e6f128
Adversarial examples represent a serious threat for deep neural networks in several application domains and a huge amount of work has been produced to investigate them and mitigate their effects. Nevertheless, no much work has been devoted to the gen
Externí odkaz:
http://arxiv.org/abs/2206.04365