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DCALab, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy
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Malicious nodes can be detected with 100% accuracy by measuring activation variations in a peer-to-peer LLM inference network, revolutionizing trust in distributed AI systems.
Linking software vulnerabilities to attacker behaviors reveals critical insights for proactive threat mitigation in cybersecurity.
Smart objects can now select service providers based on reliability scores, not just functional suitability, transforming IoT security dynamics.
