6 citations · 30 across the 37 of their papers we have counts for
3 papers · 2 filters
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability
Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba +1
Deep neural network image classifiers are known to be susceptible not only to adversarial examples created for them but even those created for others. This phenomenon poses a poten…
Adversarial Bone Length Attack on Action Recognition
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Skeleton-based action recognition models have recently been shown to be vulnerable to adversarial attacks. Compared to adversarial attacks on images, perturbations to skeletons are…
Adversarially Trained Object Detector for Unsupervised Domain Adaptation
Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto
Unsupervised domain adaptation, which involves transferring knowledge from a label-rich source domain to an unlabeled target domain, can be used to substantially reduce annotation…