المؤلفون: Villegas-Ch, William, Jaramillo-Alcázar, Angel, Luján-Mora, Sergio

المساهمون: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, Advanced deveLopment and empIrical research on Software (ALISoft)

مصطلحات موضوعية: Adversary examples, Robustness of models, Countermeasures

Relation: https://doi.org/10.3390/bdcc8010008; Villegas-Ch W, Jaramillo-Alcázar A, Luján-Mora S. Evaluating the Robustness of Deep Learning Models against Adversarial Attacks: An Analysis with FGSM, PGD and CW. Big Data and Cognitive Computing. 2024; 8(1):8. https://doi.org/10.3390/bdcc8010008; http://hdl.handle.net/10045/139780

الاتاحة: http://hdl.handle.net/10045/139780
https://doi.org/10.3390/bdcc8010008

المؤلفون: Peter Steinbach (10953363)

مصطلحات موضوعية: Medical and Health Sciences not elsewhere classified, machine learning, medical imaging, radiology, robust AI, robust ML, adversary examples

Relation: https://figshare.com/articles/presentation/robust_training_adversarial_examples_and_what_it_tells_us_about_modern_medical_ML_classifiers/14838330

الاتاحة: https://doi.org/10.6084/m9.figshare.14838330.v1

المؤلفون: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, Villegas-Ch, William, Jaramillo-Alcázar, Angel, Luján-Mora, Sergio

مصطلحات الفهرس: Adversary examples, Robustness of models, Countermeasures, info:eu-repo/semantics/article

URL: http://hdl.handle.net/10045/139780
https://doi.org/10.3390/bdcc8010008
https://doi.org/10.3390/bdcc8010008