Tag: adversarial attacks

Researchers have combined prototypical few-shot learning with adversarial training to build an IoT intrusion detection system that learns attacks from ...

Researchers have shown that concepts erased from text-to-image diffusion models can reappear when structural controls like edge maps and depth ...

A new review in National Science Review unifies biomimetics, spectral physics, and artificial intelligence into a single framework of anti-visual ...

Researchers have developed a generative adversarial network framework called StegoAdv-GAN that hides extractable secret messages inside images while simultaneously generating ...

A systematic review of 93 studies reveals eight attack types and nine defence types across six categories of unsupervised machine ...

Researchers argue that prompt injection, which hijacks clinical AI systems through hidden instructions in medical records, should be formally classified ...

Researchers at Vanderbilt University have developed a resilient adaptive aggregation method that enables peer-to-peer machine learning networks to reach consensus ...