58 citations · 336 across the 22 of their papers we have counts for
22 papers
Analytical foundation for adversarial synchronization control in oscillator networks
Kazuhiro Takemoto
This study provides an analytical foundation for adversarial synchronization control in Kuramoto oscillator networks, where small gradient-based perturbations applied repeatedly to…
Adversarial attacks on voter model dynamics in complex networks
Katsumi Chiyomaru, Kazuhiro Takemoto
This study investigates adversarial attacks conducted to distort voter model dynamics in complex networks. Specifically, a simple adversarial attack method is proposed to hold the…
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
Kazuki Koga, Kazuhiro Takemoto
Universal adversarial attacks, which hinder most deep neural network (DNN) tasks using only a small single perturbation called a universal adversarial perturbation (UAP), is a real…
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks
Hokuto Hirano, Kazuki Koga, Kazuhiro Takemoto
Under the epidemic of the novel coronavirus disease 2019 (COVID-19), chest X-ray computed tomography imaging is being used for effectively screening COVID-19 patients. The developm…
Simple iterative method for generating targeted universal adversarial perturbations
Hokuto Hirano, Kazuhiro Takemoto
Deep neural networks (DNNs) are vulnerable to adversarial attacks. In particular, a single perturbation known as the universal adversarial perturbation (UAP) can foil most classifi…
A network biology-based approach to evaluating the effect of environmental contaminants on human interactome and diseases
Midori Iida, Kazuhiro Takemoto
Environmental contaminant exposure can pose significant risks to human health. Therefore, evaluating the impact of this exposure is of great importance; however, it is often diffic…