SAFEGUARDING AI: DEFENDING AGAINST ADVERSARIAL ATTACKS

Adversarial attacks pose a significant threat to the effectiveness of AI systems. These attacks involve manipulating input data in subtle ways to trigger incorrect results. Safeguarding against such attacks requires a multi-faceted approach that encompasses {robust{design principles, rigorous testing methodologies, and ongoing monitoring strategies

The burgeoning field 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 essential aspect of this endeavor involves tackling the risk of AI malicioususe. This