most citedVirus-MNIST: A Benchmark Malware Dataset

22 citations · 37 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20216 cited

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…

cs.LG20211 cited

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…

cs.CR2021

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…

cs.CR202122 cited

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…

cs.CV20214 cited

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…

cs.CV20204 cited

Knife and Threat Detectors

David A. Noever, Sam E. Miller Noever

Despite rapid advances in image-based machine learning, the threat identification of a knife wielding attacker has not garnered substantial academic attention. This relative resear…