LATIDIA · Ciberseguridad

Una revisión exhaustiva del ataque de un píxel: estado de la investigación, taxonomía, aplicaciones, política de regulación y direcciones futuras

arXiv:2610.00125v1 Anuncio Tipo: nuevo Resumen: Los ataques de un píxel (OPA) representan una de las demostraciones más extremas de fragilidad adversaria en el aprendizaje profundo, donde la modificación de un solo píxel puede inducir de manera confiable altos

La noticia

arXiv:2610.00125v1 Announce Type: new Abstract: One-Pixel Attacks (OPAs) represent one of the most extreme demonstrations of adversarial fragility in deep learning, where modifying a single pixel can reliably induce high-confidence misclassification across domains such as medical diagnosis, autonomous driving, biometrics, and quantum communication. Despite their conceptual simplicity, OPAs remain underexamined in existing adversarial-attack surveys, which provide only fragmented or cursory coverage. This PRISMA-guided review synthesizes high-quality studies from 2017 to 2026 and delivers a unified, multi-axis taxonomy of OPA research spanning algorithmic foundations, black-box evolutionary optimization, emerging hybrid and program-synthesis attacks, defence mechanisms, interpretability tools, and domain-specific vulnerabilities. Our analysis reveals the dominance of Differential Evolution-based strategies, the rise of