Adversarial attacks pose a serious threat to the effectiveness of AI systems. These attacks involve manipulating input data in subtle ways to induce undesirable outputs. Safeguarding against such attacks requires a multi-faceted approach that encompasses {robust{design principles, rigorous testin

As intelligent systems advances at a rapid pace, it is crucial to address the potential risks linked with these powerful technologies. Moral concerns surrounding bias, accountability, and impact on society must be rigorously addressed to ensure that AI benefits humanity. Developing robust