{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Adversarial Example — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Adversarial Example

A carefully crafted input, often indistinguishable from a normal input to a human, that causes an AI model to make a specific, incorrect prediction. A classic example is an image of a panda with imperceptible noise added, causing a classifier to confidently identify it as a gibbon. Where an adversarial attack describes the act of manipulation, an adversarial example is the crafted input itself. Together, they reveal fundamental vulnerabilities in how neural networks represent and process information.

Source: gaks.ai/glossary/adversarial-example →
"}