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pro vyhledávání: '"Geyer Michael"'
Autor:
Bell, Brian, Geyer, Michael, Glickenstein, David, Hamm, Keaton, Scheidegger, Carlos, Fernandez, Amanda, Moore, Juston
There are a number of hypotheses underlying the existence of adversarial examples for classification problems. These include the high-dimensionality of the data, high codimension in the ambient space of the data manifolds of interest, and that the st
Externí odkaz:
http://arxiv.org/abs/2404.08069
Autor:
Budil, Ivo T.
Publikováno v:
Securitas imperii. (23):157-160
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=545321
We explore the equivalence between neural networks and kernel methods by deriving the first exact representation of any finite-size parametric classification model trained with gradient descent as a kernel machine. We compare our exact representation
Externí odkaz:
http://arxiv.org/abs/2308.00824
Autor:
ROODHOUSE, M.
Publikováno v:
The English Historical Review, 2017 Dec 01. 132(559), 1641-1643.
Externí odkaz:
https://www.jstor.org/stable/26793375
With the rise in popularity of machine and deep learning models, there is an increased focus on their vulnerability to malicious inputs. These adversarial examples drift model predictions away from the original intent of the network and are a growing
Externí odkaz:
http://arxiv.org/abs/2003.04820
Publikováno v:
In Journal of Energy Storage 25 December 2023 74 Part A
Publikováno v:
In Seminars in Arthroplasty: JSES June 2022 32(2):382-388
Akademický článek
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Autor:
Mare van den Eeden
Publikováno v:
East Central Europe. 37:374-376
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::014990454f3021d95eb0e06464a824f9
https://doi.org/10.1163/187633010x535170
https://doi.org/10.1163/187633010x535170