Poisoned text refers to deliberately corrupted data embedded in AI training sets, causing models to generate biased, harmful, or nonsensical outputs. This adversarial technique is used to manipulate machine learning systems, often by cybercriminals or activists aiming to sabotage AI reliability. Security researchers and ethical hackers benefit by identifying vulnerabilities, while enterprises use detection tools to safeguard model integrity.
Get alerts when this topic surges in newsletters. Free to start.
Sign up freeExplore more trends:Trending Topics ·AI Trends ·Business Trends ·Finance Trends ·Technology Trends