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Enrique Tomás Martínez Beltrán
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Enrique Tomás Martínez Beltrán

Postdoctoral research in AI, cybersecurity and federated learning, spanning threat analysis, closed-loop cyberdefense and trustworthy decentralized learning.

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Research Topics

Pillar pages connecting projects, publications and notes around the main research lines.

Topic

Decentralized Federated Learning

Research on decentralized federated learning for secure, privacy-preserving and resilient AI systems in distributed environments.

DFLFederated LearningDecentralized Federated Learning
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Topic

AI and Machine Learning for Cyberdefense

Research on AI and machine learning for cyberdefense, threat detection, situational awareness and attack mitigation.

CyberdefenseCybersecurityMachine Learning for Security
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Topic

LLMs for Cyberdefense Support

Research on LLMs for cyberdefense support, attack explanation, mitigation recommendation and human-in-the-loop incident analysis.

LLMsCyberdefenseHuman-in-the-loop
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Topic

Trustworthy AI

Research on trustworthy AI for robust, explainable and privacy-aware machine learning in distributed security settings.

Trustworthy AIExplainable AIPrivacy-Preserving AI
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