NIST’s National Cybersecurity Center of Excellence (NCCoE) has released a draft report on machine learning (ML) for public comment. A Taxonomy and Terminology of Adversarial Machine Learning (Draft ...

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 ...

Machine learning systems are vulnerable to cyberattacks that could allow hackers to evade security and prompt data leaks, scientists at the National Institute of Standards and Technology warned. There ...

The National Institute of Standards and Technology (NIST), the U.S. Commerce Department agency that develops and tests tech for the U.S. government, companies and the broader public, has re-released a ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The National Institute of Standards and Technology (NIST) has released an ...

A recent study conducted by computer scientists from the National Institute of Standards and Technology (NIST) and their collaborators has exposed the vulnerability of artificial intelligence (AI) and ...

On March 18, the US Court of Appeals for the DC Circuit ruled that an AI model cannot be the author of copyrighted material under existing copyright law. The court ...

Many of the security problems of large language models (LLMs) boil down to a simple fact: The heart of all LLMs is a black box. The end users of LLMs typically do not have a lot of information on how ...

The National Institute of Standards and Technology (NIST) has announced plans to issue a new set of cybersecurity guidelines aimed at safeguarding artificial intelligence systems, citing rising ...

Cyberattacks on artificial intelligence (AI) systems are increasing, so it’s important users know their vulnerabilities and try to soften the damage if they get hit, according to a new report by the ...