18 citations · 43 across the 5 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 5 cited
Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization
Renya Daimo, Satoshi Ono, Takahiro Suzuki
This paper proposes an adversarial attack method to deep neural networks (DNNs) for monocular depth estimation, i.e., estimating the depth from a single image. Single image depth e…
cs.SD2020★ 7 cited
Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition
Shoma Ishida, Satoshi Ono
This paper proposes a black-box adversarial attack method to automatic speech recognition systems. Some studies have attempted to attack neural networks for speech recognition; how…
cs.CV2020★ 13 cited
Depth estimation from 4D light field videos
Takahiro Kinoshita, Satoshi Ono
Depth (disparity) estimation from 4D Light Field (LF) images has been a research topic for the last couple of years. Most studies have focused on depth estimation from static 4D LF…