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Home/Authors/Luca Invernizzi

Luca Invernizzi

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×3AI×3ML×3

Frequent co-authors

Mark Vero2×
Fabian Kaczmarczyck2×
Ivan Petrov2×
Ilia Shumailov2×
Jamie Hayes2×
Niels Heinen2×

Research Timeline

2026
ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?

The paper introduces ExploitGym, a large-scale benchmark, demonstrating that advanced AI agents can successfully turn theoretical software vulnerabilities into working exploits, highlighting growing cybersecurity risks.

Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots

The paper introduces Honeyval, a comprehensive evaluation framework, to rigorously test LLM-powered HTTP honeypots, demonstrating that these systems provide substantially longer and harder-to-detect interactions compared to traditional methods.

Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots

The paper introduces Honeyval, a comprehensive evaluation framework, to rigorously test LLM-powered HTTP honeypots, demonstrating that these honeypots provide substantially longer and harder-to-detect interactions compared to traditional methods.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIcs.LGRecentMay 28, 2026

Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots

Mark Vero, Fabian Kaczmarczyck, Ivan Petrov, Ilia Shumailov +5 more

The paper introduces Honeyval, a comprehensive evaluation framework, to rigorously test LLM-powered HTTP honeypots, demonstrating that these systems provide substantially longer and harder-to-detect i…

View →
cs.CRcs.AIcs.LGRecentMay 28, 2026

Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots

Mark Vero, Fabian Kaczmarczyck, Ivan Petrov, Ilia Shumailov +5 more

The paper introduces Honeyval, a comprehensive evaluation framework, to rigorously test LLM-powered HTTP honeypots, demonstrating that these honeypots provide substantially longer and harder-to-detect…

View →
cs.CRcs.AIcs.LGRecentMay 11, 2026

ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?

Zhun Wang, Nico Schiller, Hongwei Li, Srijiith Sesha Narayana +12 more

The paper introduces ExploitGym, a large-scale benchmark, demonstrating that advanced AI agents can successfully turn theoretical software vulnerabilities into working exploits, highlighting growing c…

View →