Author

Diego Kreutz

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#artificial intelligence Preprint Aug 2026

Not All 4-bit Quantizers Are Equal: Deployment-Time Mitigation of PII Leakage in Fine-Tuned Small Language Models

Organizations fine-tune small language models on private data and then compress them to 4 bits for resource-efficient deployment. We show that the compression method also affects privacy. What separates the methods is not the bit width but whether they tune their rounding on a small sample of text, the calibration corp...

Cristhian Kapelinski, Diego Kreutz · 0 citations

Preprint Aug 2026

Security-First Evaluation of Text-to-Terraform: Benchmarking LLMs and SLMs for Secure IaC Generation

Cloud misconfiguration remains a leading cause of security incidents, yet whether LLMs and SLMs can generate security-compliant Infrastructure-as-Code is an open question. We benchmark seven models, three closed LLMs (Claude Opus 4, GPT-5.4, Gemini 2.5 Pro) and four open SLMs (Qwen2.5-Coder-14B, WizardCoder-33B, CodeLl...

Francis Luis Santos Vargas, R. Mansilha, Diego Kreutz · 0 citations

Open access Jul 2026

Can Language Models Generate Secure Terraform Code? A Security-Focused Benchmark Using Static Analysis

An empirical benchmark evaluating whether LLMs and SLMs can generate security-compliant AWS Terraform configurations suggests that prompt design is a critical factor, highlighting the need for a proper pipeline for developing and validating LLM-assisted secure IaC generation.

Francis Luis Santos Vargas, R. Mansilha, Diego Kreutz · Anais do I Simpósio de Infra... · 0 citations