Adversarial Robustness Testing for Production ML Models

Machine learning models deployed in production environments face a multitude of challenges that extend far beyond achieving high accuracy on test datasets. One of the most critical yet often overlooked aspects of model deployment is adversarial robustness testing. As organizations increasingly rely on AI systems for mission-critical decisions, understanding how these models perform under adversarial … Read more