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1 Ergebnisse
1
Could Min-Max Optimization be a General Defense Against Adv..:
, In:
2024 International Conference on Computing, Networking and Communications (ICNC)
,
Khamis, Rana Abou
;
Matrawy, Ashraf
- p. 671-676 , 2024
Link:
https://doi.org/10.1109/ICNC59896.2024.10556266
RT T1 <cTitle>2024 International Conference on Computing, Networking and Communications (ICNC)</cTitle>: T1 <Title>Could Min-Max Optimization be a General Defense Against Adversarial Attacks?</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10556266&Exemplar=1&LAN=DE A1 Khamis, Rana Abou A1 Matrawy, Ashraf YR 2024 SN 2473-7585 K1 Training K1 Resistance K1 Recurrent neural networks K1 Computational modeling K1 Intrusion detection K1 Computer architecture K1 Benchmark testing K1 Deep Neural Networks K1 Intrusion Detection System K1 Adversarial Samples K1 Adversarial Learning SP 671 OP 676 LK http://dx.doi.org/https://doi.org/10.1109/ICNC59896.2024.10556266 DO https://doi.org/10.1109/ICNC59896.2024.10556266 SF ELIB - SuUB Bremen
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