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 ...

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 ...

Rivals do not need to break into a server room to steal an artificial intelligence model. A growing body of peer-reviewed research shows that simple, repeated queries to a publicly available ...

The rise of artificial intelligence has rendered portions of your current cybersecurity playbook obsolete. Unless Chief Information Security Officers ...

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 ...