6 citations · 30 across the 37 of their papers we have counts for
7 papers · 1 filter
Vanishing Component Analysis with Contrastive Normalization
Ryosuke Masuya, Yuichi Ike, Hiroshi Kera
Vanishing component analysis (VCA) computes approximate generators of vanishing ideals of samples, which are further used for extracting nonlinear features of the samples. Recent s…
Game-Theoretic Understanding of Misclassification
Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
This paper analyzes various types of image misclassification from a game-theoretic view. Particularly, we consider the misclassification of clean, adversarial, and corrupted images…
Approximate Vanishing Ideal Computations at Scale
Elias Wirth, Hiroshi Kera, Sebastian Pokutta
The vanishing ideal of a set of points is the set of polynomials that evaluate to over all points $\mathbf{x}…
Adversarial Body Shape Search for Legged Robots
Takaaki Azakami, Hiroshi Kera, Kazuhiko Kawamoto
We propose an evolutionary computation method for an adversarial attack on the length and thickness of parts of legged robots by deep reinforcement learning. This attack changes th…
Adversarial joint attacks on legged robots
Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto
We address adversarial attacks on the actuators at the joints of legged robots trained by deep reinforcement learning. The vulnerability to the joint attacks can significantly impa…
Superclass Adversarial Attack
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Adversarial attacks have only focused on changing the predictions of the classifier, but their danger greatly depends on how the class is mistaken. For example, when an automatic d…