Adversarial attacks pose a serious threat to the stability of AI systems. These attacks involve altering input data in subtle ways to induce incorrect results. Safeguarding against such attacks necessitates a multi-faceted approach that encompasses {robust{design principles, rigorous testing meth

The burgeoning sector of artificial intelligence (AI) presents both unprecedented opportunities and substantial risks. As sophisticated AI systems become increasingly integrated into our lives, it is imperative to establish robust safeguards to mitigate potential harms. One essential aspect of th