Data Poisoning Examples?
5.0BRAINROT SCOREData Poisoning An attack on a machine-learning system in which the training data is deliberately contaminated so that the model makes more errors or learns a hidden behavior. A backdoor attack is a specific form in which the model behaves a chosen way when an input contains a particular trigger.
Origin:Wikipedia's adversarial machine learning article defines poisoning as contaminating the training dataset with data designed to increase errors in the output, and describes a backdoor attack as a particular case that teaches a specific behavior for inputs with a trigger; it cites a 2025 study finding that about 250 poisoned documents could introduce a denial-of-service backdoor across the model sizes tested. This is a security-research term; the entry describes the concept only and gives no method. Agent-era variants have their own entries.
First Seen:Unknown (the concept predates current AI slang; no dated first use is documented here)
Peak Era:2020s (AI security)
Aura Impact:+1 Aura (Using It Correctly In Context)
EXAMPLE USAGE
""The paper shows how a small share of poisoned documents can plant a backdoor in the model.""
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