3 papers
cs.CR2025
AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models
Ads Dawson, Rob Mulla, Nick Landers +1
We introduce AIRTBench, an AI red teaming benchmark for evaluating language models' ability to autonomously discover and exploit Artificial Intelligence and Machine Learning (AI/ML…
cs.CR2025
The Automation Advantage in AI Red Teaming
Rob Mulla, Ads Dawson, Vincent Abruzzon +4
This paper analyzes Large Language Model (LLM) security vulnerabilities based on data from Crucible, encompassing 214,271 attack attempts by 1,674 users across 30 LLM challenges. O…
econ.GN2018
Eliciting the Endowment Effect under Assigned Ownership
Patrick Barranger, Rohit Nair, Rob Mulla +1
In this study we present evidence that endowment effect can be elicited merely by assigned ownership. Using Google Customer Survey, we administered a survey were participants (n=49…