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Predicting the Efficiency of Adversarial Instancesfor Langu..:
, In:
2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
,
Sravani, Meesala
;
Angadi, Anupama
;
Rachapudi, Venubabu
- p. 1025-1031 , 2023
Link:
https://doi.org/10.1109/ICSSAS57918.2023.10331903
RT T1 <cTitle>2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)</cTitle>: T1 <Title>Predicting the Efficiency of Adversarial Instancesfor Language of Graphs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10331903&Exemplar=1&LAN=DE A1 Sravani, Meesala A1 Angadi, Anupama A1 Rachapudi, Venubabu YR 2023 K1 Deep learning K1 Training K1 Perturbation methods K1 Learning (artificial intelligence) K1 Predictive models K1 Motion pictures K1 Robustness K1 Adversarial attacks K1 Perturbations K1 One-edit typo K1 Deep learning model SP 1025 OP 1031 LK http://dx.doi.org/https://doi.org/10.1109/ICSSAS57918.2023.10331903 DO https://doi.org/10.1109/ICSSAS57918.2023.10331903 SF ELIB - SuUB Bremen
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