2 citations · 3 across the 3 of their papers we have counts for
3 papers
OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Michael Kouremetis, Marissa Dotter, Alex Byrne +5
The prospect of artificial intelligence (AI) competing in the adversarial landscape of cyber security has long been considered one of the most impactful, challenging, and potential…
Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments
Alexander Tapley, Marissa Dotter, Michael Doyle +5
Climate change has resulted in a year over year increase in adverse weather and weather conditions which contribute to increasingly severe fire seasons. Without effective mitigatio…
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
Marissa Dotter, Sherry Xie, Keith Manville +3
Machine Learning (ML) models are known to be vulnerable to adversarial inputs and researchers have demonstrated that even production systems, such as self-driving cars and ML-as-a-…