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

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