Complete figures generated during research for paper "<b><i>The Weaponization of Imperfection: Quantifying Adversarial Vulnerability in Pre-Trained Vision Models and its Direct Implications for AGI Catastrophe</i></b>"

<p dir="ltr">Figures for: This study presents a rigorous empirical quantification of adversarial vulnerability in state-of-the-art Convolutional Neural Networks (CNNs) and directly relates this measurable fragility to the looming systemic risk of Artificial General Intelligence (AGI)...

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Bibliographic Details
Main Author: Qamar Muneer Akbar (22456075) (author)
Published: 2025
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