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The Theoretical Discovery of Adversarial Examples

    Christian Szegedy and a team of researchers at Google discovered that deep neural networks could be easily fooled by adding tiny, imperceptible mathematical perturbations to images, causing a high-confidence vision model to misclassify a school bus as an ostrich, exposing the profound fragility of deep feature representation.

    Part of the 31 AI Roots Facts: 2013 Edition archive. HistoricallyVerified

    Top 5 Structural Foundations: Origins

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