Most artificial intelligence researchers agree that one of the key concerns of machine learning is adversarial attacks, data manipulation techniques that cause trained models to behave in undesired ...

The chain of the first 3 blocks can be organized in a parallel multi-channel structure that is followed by one or several aggregation blocks. The final decision about the class is made based on the ...

As social media and other sites grapple with misinformation surrounding the 2020 election, they’re relying on machine-learning algorithms to spot and tag false or deliberately deceptive posts. Such ...

If you’ve been following news about artificial intelligence, you’ve probably heard of or seen modified images of pandas and turtles and stop signs that look ordinary to the human eye but cause AI ...

A digital twin is an exact virtual copy of a real-world system. Built using real-time data, they provide a platform to test, simulate, and optimize the performance of their physical counterpart. In ...

MCLEAN, Va. & BEDFORD, Mass.--(BUSINESS WIRE)--MITRE Engenuity’s Center for Threat-Informed Defense has launched a public library of adversary emulation plans that enable defenders to replicate many ...

Adversarial AI exploits model vulnerabilities by subtly altering inputs (like images or code) to trick AI systems into misclassifying or misbehaving. These attacks often evade detection because they ...

RESTON, Va., Dec. 8, 2025 /PRNewswire/ -- Tidal Cyber, the category owner of Threat-Led Defense, today announced the release of the 1st Annual Threat-Led Defense Report, the only industry report built ...

IFAP generates adversarial perturbations using model gradients and then shapes them in the discrete cosine transform (DCT) domain. Unlike existing frequency-aware methods that apply a fixed frequency ...