The final guidance for defending against adversarial machine learning offers specific solutions for different attacks, but warns current mitigation is still developing. NIST Cyber Defense The final ...

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 term generative AI refers to a relatively new field of AI that can create human-like content, from pictures and videos to poetry and even computer code. To achieve this, several different ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More With 77% of enterprises already victimized by adversarial AI attacks and ...

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 ...

This course offers an in-depth exploration of Generative AI, focusing on genAI fundamentals, practical implementations, and cutting-edge advancements in the field. Students will delve into key topics ...

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