22 citations · 48 across the 11 of their papers we have counts for
6 papers · 1 filter
POSSE: Patterns of Systems During Software Encryption
David Noever, Samantha Miller Noever
This research recasts ransomware detection using performance monitoring and statistical machine learning. The work builds a test environment with 41 input variables to label and co…
Rock Hunting With Martian Machine Vision
David Noever, Samantha E. Miller Noever
The Mars Perseverance rover applies computer vision for navigation and hazard avoidance. The challenge to do onboard object recognition highlights the need for low-power, customize…
Reading Isn't Believing: Adversarial Attacks On Multi-Modal Neurons
David A. Noever, Samantha E. Miller Noever
With Open AI's publishing of their CLIP model (Contrastive Language-Image Pre-training), multi-modal neural networks now provide accessible models that combine reading with visual…
Image Classifiers for Network Intrusions
David A. Noever, Samantha E. Miller Noever
This research recasts the network attack dataset from UNSW-NB15 as an intrusion detection problem in image space. Using one-hot-encodings, the resulting grayscale thumbnails provid…
Virus-MNIST: A Benchmark Malware Dataset
David Noever, Samantha E. Miller Noever
The short note presents an image classification dataset consisting of 10 executable code varieties and approximately 50,000 virus examples. The malicious classes include 9 families…
Overhead MNIST: A Benchmark Satellite Dataset
David Noever, Samantha E. Miller Noever
The research presents an overhead view of 10 important objects and follows the general formatting requirements of the most popular machine learning task: digit recognition with MNI…