Adversarial attacks pose a significant threat to the reliability of AI systems. These attacks involve manipulating input data in subtle ways to trigger inaccurate results. Safeguarding against such attacks necessitates a multi-faceted approach that encompasses {robust{design principles, rigorous tes

The burgeoning field 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 forge robust safeguards to mitigate potential harms. One essential aspect of this endea