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 ...

Can we make artificial intelligence impervious to adversaries who want to twist the technology to nefarious ends? Though AI ...

The Artificial Intelligence and Machine Learning (“AI/ML”) risk environment is in flux. One reason is that regulators are shifting from AI safety to AI innovation approaches, as a recent DataPhiles ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation 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 ...

Mindgard, the leader in AI security, today released GuardBuster, a new offering which brings together Mindgard’s platform, research, and adversarial AI security expertise to evaluate the effectiveness ...

HiddenLayer, a security startup focused on protecting AI systems from adversarial attacks, today announced that it raised $50 million in a funding round co-led by M12 and Moore Strategic Ventures with ...

The study, titled Artificial Intelligence Methods for Unmanned Aerial Vehicles Cybersecurity: A Comprehensive Survey and published in Drones, maps AI-based cybersecurity research for unmanned aerial ...