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1 Ergebnisse
1
Strong Data Augmentation Sanitizes Poisoning and Backdoor A..:
, In:
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Borgnia, Eitan
;
Cherepanova, Valeriia
;
Fowl, Liam
... - p. 3855-3859 , 2021
Link:
https://doi.org/10.1109/ICASSP39728.2021.9414862
RT T1 <cTitle>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9414862&Exemplar=1&LAN=DE A1 Borgnia, Eitan A1 Cherepanova, Valeriia A1 Fowl, Liam A1 Ghiasi, Amin A1 Geiping, Jonas A1 Goldblum, Micah A1 Goldstein, Tom A1 Gupta, Arjun YR 2021 SN 2379-190X K1 Industries K1 Toxicology K1 Conferences K1 Training data K1 Machine learning K1 Signal processing K1 Data models K1 Data Poisoning K1 Backdoor Attacks K1 Adversarial Attacks K1 Differential Privacy K1 Data Augmentation SP 3855 OP 3859 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP39728.2021.9414862 DO https://doi.org/10.1109/ICASSP39728.2021.9414862 SF ELIB - SuUB Bremen
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