SAFEGUARDING AI: DEFENDING AGAINST ADVERSARIAL ATTACKS

Adversarial attacks pose a significant read more threat to the stability of AI systems. These attacks involve altering input data in subtle ways to induce inaccurate predictions. Safeguarding against such attacks demands a multi-faceted approach that encompasses {robust{design principles, rigorous testing methodologies, and ongoing monitoring strat

The burgeoning sector 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 implement robust safeguards to mitigate potential harms. One crucial aspect of this endeavor involves addressing the risk of AI maliciou