24 citations · 49 across the 5 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
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…
cs.NE2019★ 16 cited
Scratch that! An Evolution-based Adversarial Attack against Neural Networks
Malhar Jere, Loris Rossi, Briland Hitaj +3
We study black-box adversarial attacks for image classifiers in a constrained threat model, where adversaries can only modify a small fraction of pixels in the form of scratches on…