Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Lorenzo Cavallaro"'
Autor:
Matteo Laffranchi, Stefano D'Angella, Christian Vassallo, Chiara Piezzo, Michele Canepa, Samuele De Giuseppe, Mirco Di Salvo, Antonio Succi, Samuele Cappa, Giulio Cerruti, Silvia Scarpetta, Lorenzo Cavallaro, Nicolò Boccardo, Marialaura D'Angelo, Claudia Marchese, Jody A. Saglia, Eleonora Guanziroli, Giacinto Barresi, Marianna Semprini, Simone Traverso, Stefano Maludrottu, Franco Molteni, Rinaldo Sacchetti, Emanuele Gruppioni, Lorenzo De Michieli
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
For decades, powered exoskeletons have been considered for possible employment in rehabilitation and personal use. Yet, these devices are still far from addressing the needs of users. Here, we introduce TWIN, a novel modular lower limb exoskeleton fo
Externí odkaz:
https://doaj.org/article/64d188cf0c084e9cad35935d18745f29
Autor:
Carlo Ferraresi, Giovanni Milandri, Matteo Laffranchi, Lorenzo De Michieli, Federico Tessari, Lorenzo Cavallaro, Carlo De Benedictis
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 236:218-227
Energy storing and return (ESAR) prosthetic feet showed continuous improvements during the last 30 years. Despite this, standard guidelines are still missing to achieve an optimal foot design in terms of performances. One of the most important design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb228c9e70f82b103ed3cafe2ac6f75a
https://doi.org/10.1177/09544119211044556
https://doi.org/10.1177/09544119211044556
Publikováno v:
Proceedings of the 38th Annual Computer Security Applications Conference
Intel SGX enables memory isolation and static integrity verification of code and data stored in user-space memory regions called enclaves. SGX effectively shields the execution of enclaves from the underlying untrusted OS. Attackers cannot tamper nor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3a6ba9ba44e336d549e9797e42c3819
http://arxiv.org/abs/2206.07418
http://arxiv.org/abs/2206.07418
Autor:
Lorenzo Cavallaro
Publikováno v:
2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8130264b55321ee8b6a933ff61e8700
https://doi.org/10.1109/eurospw55150.2022.00006
https://doi.org/10.1109/eurospw55150.2022.00006
Publikováno v:
King's College London
Machine learning for malware classification shows encouraging results, but real deployments suffer from performance degradation as malware authors adapt their techniques to evade detection. This phenomenon, known as concept drift, occurs as new malwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d52c7121061b8b8b0c9e62d3a32085
https://doi.org/10.1109/sp46214.2022.9833659
https://doi.org/10.1109/sp46214.2022.9833659
Publikováno v:
Cono D'Elia, D, Coppa, E, Palmaro, F & Cavallaro, L 2020, ' On the Dissection of Evasive Malware ', IEEE Transactions on Information Forensics and Security, vol. 15, 9018111, pp. 2750-2765 . https://doi.org/10.1109/TIFS.2020.2976559
Complex malware samples feature measures to impede automatic and manual analyses, making their investigation cumbersome. While automatic characterization of malware benefits from recently proposed designs for passive monitoring, the subsequent dissec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::346e7c2615ed0e72af61cdf86131adc5
https://doi.org/10.1109/tifs.2020.2976559
https://doi.org/10.1109/tifs.2020.2976559
Publikováno v:
AISec@CCS
The evolution of malware has long plagued machine learning-based detection systems, as malware authors develop innovative strategies to evade detection and chase profits. This induces concept drift as the test distribution diverges from the training,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fbe5552a5117d870771fb4caa140ba7
https://doi.org/10.1145/3474369.3486873
https://doi.org/10.1145/3474369.3486873
Autor:
Feargus Pendlebury, Lorenzo Cavallaro, Corrado Loglisci, Annalisa Appice, Giuseppina Andresini, Fabio Pierazzi
Publikováno v:
AISec@CCS
Despite decades of research in network traffic analysis and incredible advances in artificial intelligence, network intrusion detection systems based on machine learning (ML) have yet to prove their worth. One core obstacle is the existence of concep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8c685d9de88f33eeae9f1af3058679
https://doi.org/10.1145/3474369.3486864
https://doi.org/10.1145/3474369.3486864
Autor:
Chiara Piezzo, Lorenzo Cavallaro, Marianna Semprini, Matteo Laffranchi, Lorenzo De Michieli, Jody A. Saglia, Maria Laura D'Angelo, Simone Traverso, Stefano Maludrottu, Christian Vassallo, Giulio Cerruti, Nicolò Boccardo, D'angella Stefano, Eleonora Guanziroli, Emanuele Gruppioni, Silvia Scarpetta, Claudia Marchese, Giacinto Barresi, Samuele Cappa, Antonio Succi, Franco Molteni, Mirco Di Salvo, M. Canepa, Samuele De Giuseppe, Rinaldo Sacchetti
Publikováno v:
Frontiers in Neurorobotics
Frontiers in Neurorobotics, Vol 15 (2021)
Frontiers in Neurorobotics, Vol 15 (2021)
For decades, powered exoskeletons have been considered for possible employment in rehabilitation and personal use. Yet, these devices are still far from addressing the needs of users. Here, we introduce TWIN, a novel modular lower limb exoskeleton fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4778ac67ace53d2f9ccc590287e8c1d4
https://pubmed.ncbi.nlm.nih.gov/34690732
https://pubmed.ncbi.nlm.nih.gov/34690732
Publikováno v:
ACSAC
Debugging symbols in binary executables carry the names of functions and global variables. When present, they greatly simplify the process of reverse engineering, but they are almost always removed (stripped) for deployment. We present the design and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8271ecd0cb3136fcc972af9d8aabbd5f
https://doi.org/10.1145/3427228.3427265
https://doi.org/10.1145/3427228.3427265