SAFEGUARDING AI: DEFENDING AGAINST ADVERSARIAL ATTACKS

Hostile attacks pose a growing threat to the effectiveness of AI systems. These attacks involve introducing input data in subtle ways to cause undesirable outputs. Safeguarding against such attacks requires a multi-faceted approach that encompasses {robust{design principles, rigorous testing methodologies, and ongoing monitoring strategies. By bols

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 endeavor involves tackling the risk of AI maliciousappl