Adversarial attacks pose a growing threat to the effectiveness of AI systems. These attacks involve manipulating input data in subtle ways to cause incorrect predictions. Safeguarding against such attacks necessitates a multi-faceted approach that encompasses {robust{design principles, rigorous t

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 crucial aspect of this