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cs.LG2022★ 24 cited
Adversarial Scratches: Deployable Attacks to CNN Classifiers
Loris Giulivi, Malhar Jere, Loris Rossi +4
A growing body of work has shown that deep neural networks are susceptible to adversarial examples. These take the form of small perturbations applied to the model's input which le…
cs.LG2019
Principal Component Properties of Adversarial Samples
Malhar Jere, Sandro Herbig, Christine Lind +1
Deep Neural Networks for image classification have been found to be vulnerable to adversarial samples, which consist of sub-perceptual noise added to a benign image that can easily…