3 citations · 5 across the 3 of their papers we have counts for
3 papers
ARIA: Adversarially Robust Image Attribution for Content Provenance
Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm +4
Image attribution -- matching an image back to a trusted source -- is an emerging tool in the fight against online misinformation. Deep visual fingerprinting models have recently b…
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
T. Gittings, S. Schneider, J. Collomosse
We present Vax-a-Net; a technique for immunizing convolutional neural networks (CNNs) against adversarial patch attacks (APAs). APAs insert visually overt, local regions (patches)…
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior
Thomas Gittings, Steve Schneider, John Collomosse
We present a novel method for generating robust adversarial image examples building upon the recent `deep image prior' (DIP) that exploits convolutional network architectures to en…