Back to Search
Start Over
Adversarial attacks and adversarial robustness in computational pathology
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Artificial Intelligence can support diagnostic workflows in oncology, but they are vulnerable to adversarial attacks. Here, the authors show that convolutional neural networks are highly susceptible to white- and black-box adversarial attacks in clinically relevant classification tasks.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f6580ad98aea4da49e7134c3816a8c59
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-33266-0