Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sebastian Vasile"'
This work focuses on plant leaf disease classification and explores three crucial aspects: adversarial training, model explainability, and model compression. The models' robustness against adversarial attacks is enhanced through adversarial training,
Externí odkaz:
http://arxiv.org/abs/2401.00334
Autor:
Smădu, Răzvan-Alexandru, Echim, Sebastian-Vasile, Cercel, Dumitru-Clementin, Marin, Iuliana, Pop, Florin
Unsupervised Domain Adaptation (UDA) is a popular technique that aims to reduce the domain shift between two data distributions. It was successfully applied in computer vision and natural language processing. In the current work, we explore the effec
Externí odkaz:
http://arxiv.org/abs/2308.02185
Autor:
Echim, Sebastian-Vasile, Smădu, Răzvan-Alexandru, Avram, Andrei-Marius, Cercel, Dumitru-Clementin, Pop, Florin
Satire detection and sentiment analysis are intensively explored natural language processing (NLP) tasks that study the identification of the satirical tone from texts and extracting sentiments in relationship with their targets. In languages with fe
Externí odkaz:
http://arxiv.org/abs/2306.07845
Publikováno v:
Smart Card Research and Advanced Applications ISBN: 9783030154615
CARDIS
CARDIS
In this paper, we systematically review and categorize different hardware-based firmware extraction techniques, using 24 examples of real, wide-spread products, e.g. smart voice assistants (in particular Amazon Echo devices), alarm and access control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c0981d627c90c0ff184aea6ef2827c7
https://doi.org/10.1007/978-3-030-15462-2_12
https://doi.org/10.1007/978-3-030-15462-2_12
Publikováno v:
Acta Electrotehnica; 2016, Vol. 57 Issue 3/4, p359-362, 4p
