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1 Ergebnisse
1
Exploring the Vulnerabilities of Machine Learning and Quant..:
, In:
2023 IEEE International Conference on Software Services Engineering (SSE)
,
Akter, Mst Shapna
;
Shahriar, Hossain
;
Iqbal, Iysa
... - p. 222-231 , 2023
Link:
https://doi.org/10.1109/SSE60056.2023.00037
RT T1 <cTitle>2023 IEEE International Conference on Software Services Engineering (SSE)</cTitle>: T1 <Title>Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks Using a Malware Dataset: A Comparative Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10234365&Exemplar=1&LAN=DE A1 Akter, Mst Shapna A1 Shahriar, Hossain A1 Iqbal, Iysa A1 Hossain, MD A1 Karim, M.A. A1 Clincy, Victor A1 Voicu, Razvan YR 2023 K1 Analytical models K1 Quantum computing K1 Computational modeling K1 Supply chains K1 Machine learning K1 Artificial neural networks K1 Robustness K1 Adversarial Attack K1 Quantum neural network (QNN) K1 Neural Network (NN) K1 ClaMP K1 TensorFlow K1 Pennylane SP 222 OP 231 LK http://dx.doi.org/https://doi.org/10.1109/SSE60056.2023.00037 DO https://doi.org/10.1109/SSE60056.2023.00037 SF ELIB - SuUB Bremen
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