Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...

Rivals do not need to break into a server room to steal an artificial intelligence model. A growing body of peer-reviewed ...

The National Institute of Standards and Technology (NIST) has published its final report on adversarial machine learning (AML), offering a comprehensive taxonomy and shared terminology to help ...

Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...

Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores in real-world botnet traffic.