IEEE

Non-uniform Illumination Attack for Fooling Convolutional Neural Networks

Abstract: Convolutional neural networks (CNNs) have made remarkable strides; however, they remain susceptible to vulnerabilities, particularly to image perturbations that humans can easily recognize.
Frontiers

Image steganalysis using LSTM fused convolutional neural networks for secure telemedicine

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...
Frontiers

Effective methods and framework for energy-based local learning of deep neural networks

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...
IEEE

3D Convolutional Neural Networks for landing zone detection from LiDAR

Abstract: We present a system for the detection of small and potentially obscured obstacles in vegetated terrain. The key novelty of this system is the coupling of a volumetric occupancy map with a 3D ...
TribLIVE.com

Hempfield Area drafts 3D designs for high school renovation

Five years after Hempfield Area School District approved a feasibility study for a renovation of its 1956 high school, the district is starting to nail down what the refurbished building will look ...