The Silent Threat: Adversarial Attacks on Machine Learning In the high-stakes arena of artificial intelligence, where algorithms increasingly govern critical decisions, a subtle but profound threat looms: adversarial attacks. These are carefully crafted inputs designed to fool machine learning models, causing them to misclassify data with potentially devastating consequences. Imagine a self-driving car misinterpreting a
