66 citations · 89 across the 8 of their papers we have counts for
4 papers · 1 filter
Transformers for End-to-End InfoSec Tasks: A Feasibility Study
Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully
In this paper, we assess the viability of transformer models in end-to-end InfoSec settings, in which no intermediate feature representations or processing steps occur outside the…
Efficient Malware Analysis Using Metric Embeddings
Ethan M. Rudd, David Krisiloff, Scott Coull +3
In this paper, we explore the use of metric learning to embed Windows PE files in a low-dimensional vector space for downstream use in a variety of applications, including malware…
Automatic Malware Description via Attribute Tagging and Similarity Embedding
Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner +2
With the rapid proliferation and increased sophistication of malicious software (malware), detection methods no longer rely only on manually generated signatures but have also inco…
Towards Principled Uncertainty Estimation for Deep Neural Networks
Richard Harang, Ethan M. Rudd
When the cost of misclassifying a sample is high, it is useful to have an accurate estimate of uncertainty in the prediction for that sample. There are also multiple types of uncer…