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Detecting Neural Trojans Through Merkle Trees

Autor: Strubel, Joshua

Deep neural networks are utilized in a growing number of industries. Much of the current literature focuses on the applications of deep neural networks without discussing the security of the network itself. One security issue facing deep neural netwo

Externí odkaz: http://arxiv.org/abs/2306.05368

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Akademický článek

Pediatric Neurotrophic Tyrosine Receptor Kinase-rearranged Neoplasm Resembling a Vascular Malformation

Autor: Mohammad Sadic, Alexander Hien Vu, Erol Bayraktar, Naomi Strubel, Sheel Sharma, Francine Blei, George Jour, Sandra Tomita

Publikováno v: Journal of Vascular Anomalies, Vol 5, Iss 2, p e090 (2024)

Pediatric neurotrophic tyrosine receptor kinase-rearranged spindle cell neoplasms are soft tissue neoplasms whose behaviors are not well understood. We provide a case presentation of such a tumor sharing features of a vascular malformation. Our patie

Externí odkaz: https://doaj.org/article/19b004833478419196626cd34a946d93

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Akademický článek

DARPins detect the formation of hetero-tetramers of p63 and p73 in epithelial tissues and in squamous cell carcinoma

Autor: Alexander Strubel, Philipp Münick, Oliver Hartmann, Apirat Chaikuad, Birgit Dreier, Jonas V. Schaefer, Jakob Gebel, Christian Osterburg, Marcel Tuppi, Birgit Schäfer, Viktoria Buck, Mathias Rosenfeldt, Stefan Knapp, Andreas Plückthun, Markus E. Diefenbacher, Volker Dötsch

Publikováno v: Cell Death and Disease, Vol 14, Iss 10, Pp 1-12 (2023)

Abstract The two p53 homologues p63 and p73 regulate transcriptional programs in epithelial tissues and several cell types in these tissues express both proteins. All members of the p53 family form tetramers in their active state through a dedicated

Externí odkaz: https://doaj.org/article/af967dcb30b740eda6294164fd218dc4

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Akademický článek

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FAIR in action - a flexible framework to guide FAIRification

Publikováno v: Scientific Data, Vol 10, Iss 1, Pp 1-9 (2023)

Abstract The COVID-19 pandemic has highlighted the need for FAIR (Findable, Accessible, Interoperable, and Reusable) data more than any other scientific challenge to date. We developed a flexible, multi-level, domain-agnostic FAIRification framework,

Externí odkaz: https://doaj.org/article/8abc5ecd6f3c4613a806fc5ab70baccf

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