DGF-Bench: A Benchmark for Simulating and Auditing Deception Against Multi-Agent Governance Boards

arXiv:2609.34913 · cs.AI, cs.CR · Submitted 2026-09-28 · Read on arXiv

cs.AI, cs.CR

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/jeremy1392/DGF-Bench

Project page: https://www.dgfbench.com

Terminology

• Benchmark — 16× in this paper · explained in 2 episodes
• Provenance — 16× in this paper · explained in 4 episodes
• Trace — 8× in this paper · explained in 2 episodes
• Decode — 6× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Steering — 4× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 4 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Agent Harness — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Quantization — 2× in this paper · explained in 12 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Actionability — 1× in this paper · explained in 3 episodes
• Explainability — 1× in this paper · explained in 3 episodes

Sources

• The Last Human Gate: Forward Deployed Engineering for Governance Automation
• AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
• Defeating Prompt Injections by Design
• Defending Against Indirect Prompt Injection Attacks With Spotlighting
• ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
• AI Agents That Matter
• Ignore Previous Prompt: Attack Techniques For Language Models
• $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
• Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents

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