Malicious attacks pose a growing threat to the effectiveness of AI systems. These attacks involve introducing input data in subtle ways to induce incorrect predictions. Safeguarding against such attacks demands a multi-faceted approach that encompasses {robust{design principles, rigorous testing

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