Adversarial examples: attacks and defences on medical deep learning systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14702-9.pdf
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3. Akhtar N, Mian A (2018) Threat of adversarial attacks on deep learning in computer vision: a survey. IEEE Access 6:14410–14430. https://doi.org/10.1109/ACCESS.2018.2807385
4. Allyn J, Allou N, Vidal C, Renou A, Ferdynus C (2020) Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations. Med (Baltimore) 99(50):e23568
5. Anand D, Tank D, Tibrewal H, Sethi A (2020) Self-supervision VS.Transfer learning: Robust Biomedical Image Analysis Against Adversarial attacks. In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, pp 1159–1163. https://doi.org/10.1109/ISBI45749.2020.9098369
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