Security -

The intersection of security and deep learning covers two primary areas: using deep learning to security (e.g., intrusion detection) and protecting deep learning models from vulnerabilities (e.g., adversarial attacks) . Key Security Threats to Deep Learning

: Reconstructing sensitive training data from a model's predictions to compromise privacy. Deep Learning for Defense security

Researchers focus on several critical vulnerabilities that can compromise AI models: The intersection of security and deep learning covers

: Reverse-engineering a trained model to reveal its parameters or architecture. security