Also known as: Poisoning
Отравление данных — это adversarial attack, при которой malicious actor вмешивается в данные или training process, используемые для построения модели. Вставляя, изменяя или corrupting training examples, атакующий стремится manipulate model behavior, degrade performance или create targeted failures.
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.