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LLM-Powered Security Test Generation: Oracles, Vulnerability Probes, and Adversarial Inputs

delete2026-02-01
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PRE
AI
A
Antonio Mastropaolo *
R
Rick Kuhn
J
Jeffrey Voas
DOI:10.1109/MC.2025.3625694delete
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Abstract

Abstract

En 中文
Large language models (LLMs) can synthesize test oracles from invariants where ground truth is unavailable, translate vulnerability catalogs such as CWE, OWASP, and CVE into executable probes, and generate adversarial inputs that stress both traditional software and LLM-based systems.
Keywords:
Translation
Large language models
Software
Test pattern generators
Probes
Computer security
Stress

Journal

Computer cover
Computer
IF:
2.3
Papers:
207
Citations:
7.5K

Organization

V
virginia polytechnic institute & state university
Scholars:
1.2K
Papers: 523
Citations: 0