no code implementations • 24 Mar 2024 • Ryan Barron, Maksim E. Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
One of the challenges in constructing a KG from scientific literature is the extraction of ontology from unstructured text.
no code implementations • 4 Sep 2023 • Maksim E. Eren, Manish Bhattarai, Kim Rasmussen, Boian S. Alexandrov, Charles Nicholas
Here we introduce and showcase preliminary capabilities of a new method that can perform precise identification of novel malware families, while also unifying the capability for malware/benign-ware classification and malware family classification into a single framework.
no code implementations • 3 Sep 2023 • Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim Rasmussen, Boian Alexandrov
This study underscores the potential of integrating tensorization and low-rank decomposition as a robust defense against adversarial attacks in machine learning.
no code implementations • 3 Oct 2022 • Erik Skau, Andrew Hollis, Stephan Eidenbenz, Kim Rasmussen, Boian Alexandrov
Monitoring of industrial processes is a critical capability in industry and in government to ensure reliability of production cycles, quick emergency response, and national security.
no code implementations • 21 Aug 2022 • Maksim E. Eren, Nick Solovyev, Manish Bhattarai, Kim Rasmussen, Charles Nicholas, Boian S. Alexandrov
As the amount of text data continues to grow, topic modeling is serving an important role in understanding the content hidden by the overwhelming quantity of documents.