SwarmReconGuard: Black-Box Detection of Distributed Collective Reconnaissance by Individually Benign-Looking Agent Populations

arXiv:2610.09138 · cs.CR, cs.AI, cs.MA · Submitted 2026-10-06 · Read on arXiv

cs.CR, cs.AI, cs.MA

Submitted: 2026-10-06

Updated: 2026-10-06

Code: https://github.com/vtavakkoli/swarm-recon-guard

Terminology

• Calibration — 18× in this paper · explained in 7 episodes
• AUROC — 17× in this paper · explained in 2 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Generalization — 9× in this paper · explained in 13 episodes
• Agentic AI — 5× in this paper · explained in 1 episode
• Federated Learning — 5× in this paper · explained in 15 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Distributed Collective Reconnaissance — 4× in this paper
• Multi-Agent System — 4× in this paper · explained in 6 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 6 episodes
• Exchangeability — 2× in this paper · explained in 2 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• Exposure Before Detection — 2× in this paper
• Feature Selection — 2× in this paper · explained in 4 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Agentic Artificial Intelligence — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Agentic Workflows — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Paper Review — 1× in this paper · explained in 2 episodes

Sources

• Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
• Emergent Collusion in Long-Horizon LLM Agent Interaction

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