Poisoning Attack
Definition
Poisoning manipulates data to influence a model's behavior.
An attack that manipulates training, adaptation, or knowledge data to degrade or deliberately control model behavior.
Simply explained
Someone intentionally alters learning or knowledge material so that the system later responds worse or deliberately incorrectly.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
Manipulated training examples create a hidden misclassification for a specific pattern.
Limits and pitfalls
- Name every data error attack or fail to investigate supply chain and integrity controls.
Origin & history
Poisoning attacks have been systematically studied since early adversarial ML research.
Use in mid-sized companies
- Possible example: Manipulated training examples create a hidden misclassification for a specific pattern.
Frequently asked questions
What does poisoning attack mean?
An attack that manipulates training, adaptation, or knowledge data to degrade or deliberately control model behavior. What mistakes should be avoided? Name every data error attack or fail to investigate supply chain and integrity controls.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: