FIELD NOTES TOPIC
ai in security
3 notes, newest first.
Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection
Researchers propose VulAgentRL, a framework for interprocedural vulnerability detection using agentic reinforcement learning (RL) and a Code Property Graph (CPG). The CPG verifies the evidence cited by the policy…
Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents
The authors propose a new approach for evaluating security agents, focusing on cost-effectiveness rather than just success rate. They evaluate language models on offensive and defensive tasks, comparing performance at…
Application of LLMs to Threat Assessment of Foreign Peacekeeping Missions
The authors propose using Large Language Models (LLMs) to help assess threats during foreign peacekeeping missions, specifically referencing their work with the EU Monitoring Mission in Georgia. They combine an…
