Adversarial Attacks involve intentionally crafting inputs that deceive AI systems into generating incorrect or unintended outputs. These manipulations exploit vulnerabilities in the model’s algorithms, often posing security risks or causing harm. Understanding and defending against such attacks is crucial for ensuring AI safety, robustness, and trustworthiness, especially in sensitive applications like security, finance, and healthcare.