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Curating Naturally Adversarial Datasets for Learning-Enable..:
, In:
2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS)
,
Pugh, Sydney
;
Ruchkin, Ivan
;
Weimer, James
. - p. 212-223 , 2024
Link:
https://doi.org/10.1109/ICCPS61052.2024.00026
RT T1 <cTitle>2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS)</cTitle>: T1 <Title>Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10571632&Exemplar=1&LAN=DE A1 Pugh, Sydney A1 Ruchkin, Ivan A1 Weimer, James A1 Lee, Insup YR 2024 K1 Uncertainty K1 Image color analysis K1 Perturbation methods K1 Medical services K1 Cyber-physical systems K1 Probabilistic logic K1 Robustness K1 robustness K1 natural adversarial examples K1 adversarial examples K1 weak supervision K1 medical cyber-physical systems SP 212 OP 223 LK http://dx.doi.org/https://doi.org/10.1109/ICCPS61052.2024.00026 DO https://doi.org/10.1109/ICCPS61052.2024.00026 SF ELIB - SuUB Bremen
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