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Home/Authors/Lorenzo Cavallaro

Lorenzo Cavallaro

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2AI×1ML×1Software Eng.×1

Frequent co-authors

Alfredo Pesoli2×
Herman Errico1×
Xinran Zheng1×
Marco Valleri1×
Suman Jana1×

Research Timeline

2026
Veritas: A Semantically Grounded Agentic Framework for Memory Corruption Vulnerability Detection in Binaries

Veritas is a semantically grounded framework that detects memory corruption vulnerabilities in stripped binaries by combining static analysis, LLM-based reasoning, and runtime validation, achieving high recall and zero false positives on a curated benchmark.

Demystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput

The paper argues that the near-term impact of LLM-assisted vulnerability discovery is not simply an increase in zero-day volume, but a critical bottleneck in defender remediation throughput, shifting the focus to validation and patching capacity.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIcs.LGRecentMay 23, 2026

Demystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput

Alfredo Pesoli, Herman Errico, Lorenzo Cavallaro

The paper argues that the near-term impact of LLM-assisted vulnerability discovery is not simply an increase in zero-day volume, but a critical bottleneck in defender remediation throughput, shifting…

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cs.SEcs.CRRecentMay 14, 2026

Veritas: A Semantically Grounded Agentic Framework for Memory Corruption Vulnerability Detection in Binaries

Xinran Zheng, Alfredo Pesoli, Marco Valleri, Suman Jana +1 more

Veritas is a semantically grounded framework that detects memory corruption vulnerabilities in stripped binaries by combining static analysis, LLM-based reasoning, and runtime validation, achieving hi…

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