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1
The Robustness of Machine Learning Models Using MLSecOps: A..:
, In:
2023 14th International Conference on Information & Communication Technology and System (ICTS)
,
Saputra, Adi
;
Suryani, Erma
;
Rakhmawati, Nur Aini
- p. 265-270 , 2023
Link:
https://doi.org/10.1109/ICTS58770.2023.10330833
RT T1 <cTitle>2023 14th International Conference on Information & Communication Technology and System (ICTS)</cTitle>: T1 <Title>The Robustness of Machine Learning Models Using MLSecOps: A Case Study On Delivery Service Forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10330833&Exemplar=1&LAN=DE A1 Saputra, Adi A1 Suryani, Erma A1 Rakhmawati, Nur Aini YR 2023 K1 Training K1 Subspace constraints K1 Machine learning K1 Production K1 Predictive models K1 Robustness K1 Forecasting K1 MLSecOps K1 forecasting delivery service K1 Random Forest K1 Adversarial Robustness Toolbox K1 boundary attack K1 backdoor attack SP 265 OP 270 LK http://dx.doi.org/https://doi.org/10.1109/ICTS58770.2023.10330833 DO https://doi.org/10.1109/ICTS58770.2023.10330833 SF ELIB - SuUB Bremen
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