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 ...

We’ve talked about robots and how they can take over the world. We’ve seen apocalyptic movies and novels that pit man versus machine in epic fights of good versus evil. Current geopolitical and ...

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 ...

Get the latest federal technology news delivered to your inbox. The Department of Homeland Security is accelerating its use cases for artificial intelligence technologies in select agency operations, ...

With machine learning becoming increasingly popular, one thing that has been worrying experts is the security threats the technology will entail. We are still exploring the possibilities: The ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Security leaders’ intentions aren’t matching up with their actions to ...

AI red teaming — the practice of simulating attacks to uncover vulnerabilities in AI systems — is emerging as a vital security strategy. Traditional red teaming focuses on simulating adversarial ...

Facepalm: Machine learning algorithms are the foundation of well-known products like OpenAI's ChatGPT, and people are using these new AI services to ask the weirdest things. Commercial chatbots should ...

MAABI platform leverages artificial intelligence and machine learning to help the Canadian Armed Forces anticipate and out-maneuver adversaries.

The Department of Homeland Security is finding uses for artificial intelligence in some agency operations, particularly in countering nefarious uses of it. “Our intention at DHS is to lead and to lead ...