Ricardo Britto
2 indexed papers
Recent (6 mo)
2With code
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226
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Crypto×2AI×1Software Eng.×1
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Research Timeline
2026
Machine Learning-Based Detection of MCP Attacks
This paper develops and evaluates supervised machine learning models to detect malicious tool descriptions within the Model Context Protocol (MCP), achieving high detection rates in both binary and multiclass classification tasks.
Validating Threat Modeling Results with the Help of Vulnerable Test Applications
This paper proposes using intentionally vulnerable test applications to validate threat modeling results, demonstrating that an LLM-assisted tool (ThreMoLIA) achieves superior vulnerability coverage compared to established tools like MTMT.
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Papers
cs.CRRecentMay 22, 2026
Validating Threat Modeling Results with the Help of Vulnerable Test Applications
This paper proposes using intentionally vulnerable test applications to validate threat modeling results, demonstrating that an LLM-assisted tool (ThreMoLIA) achieves superior vulnerability coverage c…
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cs.CRcs.AIcs.SERecentApr 12, 2026