Zobrazeno 1 - 10
of 812
pro vyhledávání: '"Visaggio, A."'
Autor:
Arikkat, Dincy R, P., Vinod, A., Rafidha Rehiman K., Di Sorbo, Andrea, Visaggio, Corrado A., Conti, Mauro
Time-relevant and accurate threat information from public domains are essential for cyber security. In a constantly evolving threat landscape, such information assists security researchers in thwarting attack strategies. In this work, we collect and
Externí odkaz:
http://arxiv.org/abs/2306.16087
Autor:
Valerio Secli, Emma Michetti, Francesca Pacello, Federico Iacovelli, Mattia Falconi, Maria Luisa Astolfi, Daniela Visaggio, Paolo Visca, Serena Ammendola, Andrea Battistoni
Publikováno v:
mBio, Vol 15, Iss 10 (2024)
ABSTRACT Limiting the availability of transition metals at infection sites serves as a critical defense mechanism employed by the innate immune system to combat microbial infections. Pseudomonas aeruginosa exhibits a remarkable ability to thrive in z
Externí odkaz:
https://doaj.org/article/42842d08acb14d8e804bf61e9b8c395c
Autor:
Sajad Khatiri, Andrea Di Sorbo, Fiorella Zampetti, Corrado A. Visaggio, Massimiliano Di Penta, Sebastiano Panichella
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101748- (2024)
Safety-related concerns may emerge during the operation of unmanned aerial vehicles (UAVs), reported by users and developers in the form of issue reports and pull requests. To help UAV developers identify safety-related concerns, we propose SALIENT,
Externí odkaz:
https://doaj.org/article/65a9a9d533984f77b18f22bb92431113
Autor:
Massimiliano Lucidi, Daniela Visaggio, Antonella Migliaccio, Giulia Capecchi, Paolo Visca, Francesco Imperi, Raffaele Zarrilli
Publikováno v:
Virulence, Vol 15, Iss 1 (2024)
ABSTRACTAcinetobacter baumannii is a common cause of healthcare-associated infections and hospital outbreaks, particularly in intensive care units. Much of the success of A. baumannii relies on its genomic plasticity, which allows rapid adaptation to
Externí odkaz:
https://doaj.org/article/5fd3f48f708245adb42d53fe0937c737
Publikováno v:
J Comput Virol Hack Tech 13, 1âÂÂ12 (2017)
In this research, we compare malware detection techniques based on static, dynamic, and hybrid analysis. Specifically, we train Hidden Markov Models (HMMs ) on both static and dynamic feature sets and compare the resulting detection rates over a subs
Externí odkaz:
http://arxiv.org/abs/2203.09938
Malware detectors based on machine learning are vulnerable to adversarial attacks. Generative Adversarial Networks (GAN) are architectures based on Neural Networks that could produce successful adversarial samples. The interest towards this technolog
Externí odkaz:
http://arxiv.org/abs/2109.13297
Autor:
Lucidi, Massimiliano, Imperi, Francesco, Artuso, Irene, Capecchi, Giulia, Spagnoli, Cinzia, Visaggio, Daniela, Rampioni, Giordano, Leoni, Livia, Visca, Paolo
Publikováno v:
In Drug Resistance Updates March 2024 73
Publikováno v:
In Archives of Psychiatric Nursing February 2024 48:7-12
Autor:
K.M., Sameera, Sgueglia, Arnaldo, P., Vinod, K.A., Rafidha Rehiman, Visaggio, Corrado Aaron, Di Sorbo, Andrea, Conti, Mauro
Publikováno v:
In Future Generation Computer Systems March 2025 164
Autor:
Massimiliano Lucidi, Giulia Capecchi, Daniela Visaggio, Tecla Gasperi, Miranda Parisi, Gabriella Cincotti, Giordano Rampioni, Paolo Visca, Kirill Kolmakov
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 1 (2024)
ABSTRACT Our understanding of bacteria is increasingly dependent on our ability to visualize cellular processes at the single-cell level with high spatial and temporal resolution. Advances in fluorescence microscopy are accompanied by an increasing d
Externí odkaz:
https://doaj.org/article/22baa04615ef4647ac8c0dcf52c33133