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20202026
most citedTowards Deep Learning Models Resistant to Large Perturbations

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cs.CV2020

ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection

Mohammadreza Salehi, Atrin Arya, Barbod Pajoum +4

Autoencoders (AE) have recently been widely employed to approach the novelty detection problem. Trained only on the normal data, the AE is expected to reconstruct the normal data e…