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cs.CR2026
ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents
Shane Caldwell, Max Harley, Ads Dawson +3
As LLM agents take on offensive security work, a single out-of-scope tool call can breach a client's engagement boundary, disrupt production, or void a bug-bounty finding. Unlike a…
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…
cs.CR2024
Poisoning Web-Scale Training Datasets is Practical
Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo +6
Deep learning models are often trained on distributed, web-scale datasets crawled from the internet. In this paper, we introduce two new dataset poisoning attacks that intentionall…