Also known as: Poisoning
El envenenamiento de datos es un ataque adversarial en el que un actor malicioso interfiere con los datos o el proceso de entrenamiento usado para construir un modelo. Al insertar, modificar o corromper ejemplos de entrenamiento, el atacante busca manipular el comportamiento del modelo, degradar su rendimiento o crear fallos dirigidos.
A side-by-side comparison of Prompt Injection and Data Poisoning. Understand how runtime instruction manipulation differs from attacks on training data or the training process.
A side-by-side comparison of Data Poisoning and Adversarial Learning. Understand how the terms differ, when each applies, and what the distinction means for AI governance, system design, or assurance evidence.