Malicious attacks pose a growing threat to the reliability of AI systems. These attacks involve manipulating 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 methodologies, and ongoing monitoring strategies. By en

The burgeoning domain 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 endeavor involves tackling the risk of AI maliciousdep