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Adversarial Machine Learning – Securing AI Models

Adversarial Machine Learning – Securing AI Models

As adversarial machine learning (AML) evolves, a conflict arises between defenders enhancing AI models and attackers exploiting vulnerabilities. By 2025, attacks have grown sophisticated, affecting healthcare and critical infrastructure. Techniques like generative adversarial networks and supply chain attacks pose real threats. Despite advances in defense strategies and regulations, significant gaps remain, necessitating collaborative efforts for effective AI security.

Source: cybersecuritynews.com –

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