Machine learning, for all its benevolent potential to detect cancers and create collision-proof self-driving cars, also threatens to upend our notions of what's visible and hidden. It can, for ...

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 ...

In this video from the 2018 HPC User Forum in Tucson, Wahid Bhimji from NERSC presents: Addressing Key Science Challenges with Adversarial Neural Networks. “Machine Learning and Deep Learning are ...