Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Frank, Joel"'
Autor:
Frank, Joel, Herbert, Franziska, Ricker, Jonas, Schönherr, Lea, Eisenhofer, Thorsten, Fischer, Asja, Dürmuth, Markus, Holz, Thorsten
AI-generated media has become a threat to our digital society as we know it. These forgeries can be created automatically and on a large scale based on publicly available technology. Recognizing this challenge, academics and practitioners have propos
Externí odkaz:
http://arxiv.org/abs/2312.05976
Autor:
Frank, Joel, Schönherr, Lea
Deep generative modeling has the potential to cause significant harm to society. Recognizing this threat, a magnitude of research into detecting so-called "Deepfakes" has emerged. This research most often focuses on the image domain, while studies ex
Externí odkaz:
http://arxiv.org/abs/2111.02813
Autor:
Frank, Joel, Holz, Thorsten
This work evaluates the reproducibility of the paper "CNN-generated images are surprisingly easy to spot... for now" by Wang et al. published at CVPR 2020. The paper addresses the challenge of detecting CNN-generated imagery, which has reached the po
Externí odkaz:
http://arxiv.org/abs/2104.02984
Autor:
Eisenhofer, Thorsten, Schönherr, Lea, Frank, Joel, Speckemeier, Lars, Kolossa, Dorothea, Holz, Thorsten
Adversarial examples seem to be inevitable. These specifically crafted inputs allow attackers to arbitrarily manipulate machine learning systems. Even worse, they often seem harmless to human observers. In our digital society, this poses a significan
Externí odkaz:
http://arxiv.org/abs/2102.05431
Autor:
Frank, Joel, Eisenhofer, Thorsten, Schönherr, Lea, Fischer, Asja, Kolossa, Dorothea, Holz, Thorsten
Deep neural networks can generate images that are astonishingly realistic, so much so that it is often hard for humans to distinguish them from actual photos. These achievements have been largely made possible by Generative Adversarial Networks (GANs
Externí odkaz:
http://arxiv.org/abs/2003.08685
The rapid development in the field of AI algorithms has raised a variety of concerns. In particular, the ability to synthesize arbitrary media, so-called deepfakes, has the potential to cause significant harm to society. Prior work have already asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0885af9d7e6b2dc21ec505f5c7f6475d
Autor:
FRANK, JOEL S.
Publikováno v:
Pacific Historical Review, 2006 Aug . 75(3), 530-532.
Externí odkaz:
https://www.jstor.org/stable/10.1525/phr.2006.75.3.530
Autor:
Latorre Barragán, María Fernanda, Fiallos Baldeón, Rashell Danae, Lemache Mancheno, Frank Joel, Núñez Valencia, Wilmer Bladimir
Publikováno v:
Journal of Advanced Zoology; 2023 Supplement, Vol. 44, p552-561, 10p
Autor:
Nowak, Thomas J, Lorge, Aaron H, Rein, Lisa E, Canadeo, Angela M, Frank, Joel P, Samanas, Lisa C, Urmanski, Angela M, Ehab L Atallah
Supplemental material for Implementation and evaluation of high-dose methotrexate administration guidelines by Thomas J Nowak, Aaron H Lorge, Lisa E Rein, Angela M Canadeo, Joel P Frank, Lisa C Samanas, Angela M Urmanski and Ehab L Atallah in Journal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e75ba6fd3b39e22b53496252265bbd