The Dark Side of Computer Vision: How Adversarial Examples Can Fool Even the Most Advanced Models
Computer vision models have revolutionized industries such as healthcare, transportation, and security by enabling machines to interpret and understand visual data from images and videos. However, these models are not immune to being deceived by cleverly crafted adversarial examples, which can resemble optical illusions like the Kanizsa triangle.
What are Adversarial Examples?
Adversarial examples are specifically designed inputs that can fool machine learning models into producing incorrect output. These examples are often created by introducing subtle distortions or perturbations to an image, making them difficult for even the most advanced algorithms to distinguish from genuine data.
The Kanizsa Triangle: A Classic Optical Illusion
The Kanizsa triangle is a classic example of an optical illusion, where the human brain is tricked into perceiving a triangle even though...
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