Artigos
Escrevo principalmente sobre segurança, sistemas distribuídos e inteligência artificial. Os textos em inglês permanecem no original.
- AI SecurityDistillation Attack on LLMs (Model Extraction via Knowledge Distillation)In normal machine learning, knowledge distillation is a training method. A large "teacher" model teaches a smaller "student" model. The student learns to copy the teacher's outputs. This makes the student faster and chea
- AI SecurityLLM Security: A Scientific Taxonomy of Attack VectorsA technical overview of how LLM security research evolved from adversarial examples to systemic risks: jailbreaks, prompt injection, memorization, backdoors, and supply chain issues.
- SoftwareHow a Large Language Model (LLM) WorksA clear overview of how LLMs work: Transformer architecture, data processing, training, alignment (SFT, RLHF, RLAIF), and efficiency techniques like MoE, RAG, and FlashAttention.
- SecurityArgusScan: Automating Ethical Pentest with Shodan APIIntroducing ArgusScan, an open-source Python CLI tool that automates ethical pentest reconnaissance using Shodan API, with professional reporting and 96% test coverage.
- SoftwareMonitoring Lab: A Complete Observability Lab with Go, Spring Boot and PrometheusA performance comparison between Go and Spring Boot applications using real metrics from Prometheus and Grafana dashboards.