Hostile attacks pose a growing threat to the reliability of AI systems. These attacks involve altering input data in subtle ways to induce undesirable results. Safeguarding against such attacks requires a multi-faceted approach that encompasses {robust{design principles, rigorous testing methodol

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 implement robust safeguards to mitigate potential harms. One crucial aspect of this