3 papers
eess.IV2021
Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification
Hokuto Hirano, Tsuyoshi Okita
Cerebral hematoma grows rapidly in 6-24 hours and misprediction of the growth can be fatal if it is not operated by a brain surgeon. There are two types of cerebral hematomas: one…
cs.CV2020
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…
cs.CV2019
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…