73 citations · 354 across the 27 of their papers we have counts for
31 papers
Prefilling the Reasoning Channel: Output-Prefix Attacks on Reasoning LLMs
Lukáš Brůna, Robert Bridges, Adam Ek
Large Language Models (LLMs) consume and produce a single sequence of text; hence, if text can be added to the beginning of the LLM's response, i.e., an output prefix, then all sub…
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors
Robert A. Bridges, Brian Weber, Justin M. Beaver +11
This work presents an evaluation of six prominent commercial endpoint malware detectors, a network malware detector, and a file-conviction algorithm from a cyber technology vendor.…
Testing SOAR Tools in Use
Robert A. Bridges, Ashley E. Rice, Sean Oesch +11
Modern security operation centers (SOCs) rely on operators and a tapestry of logging and alerting tools with large scale collection and query abilities. SOC investigations are tedi…
Assembling a Cyber Range to Evaluate Artificial Intelligence / Machine Learning (AI/ML) Security Tools
Jeffrey A. Nichols, Kevin D. Spakes, Cory L. Watson +1
In this case study, we describe the design and assembly of a cyber security testbed at Oak Ridge National Laboratory in Oak Ridge, TN, USA. The range is designed to provide agile r…
Detecting CAN Masquerade Attacks with Signal Clustering Similarity
Pablo Moriano, Robert A. Bridges, Michael D. Iannacone
Vehicular Controller Area Networks (CANs) are susceptible to cyber attacks of different levels of sophistication. Fabrication attacks are the easiest to administer -- an adversary…
A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data
Savannah Norem, Ashley E Rice, Samantha Erwin +3
Security operation centers (SOCs) all over the world are tasked with reacting to cybersecurity alerts ranging in severity. Security Orchestration, Automation, and Response (SOAR) t…