Tag: machine unlearning

Researchers have developed two federated learning algorithms, Bi-Models Training and Multi-Models Training, that remove a client's influence from a shared ...

A comprehensive review warns that conversational AI agents pose systemic privacy risks, from memorized personal data and prompt injection attacks ...

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

Researchers have developed SURGE, a graph unlearning framework that treats data deletion requests as structural perturbations and repairs graph neural ...

Researchers have developed a hypernetwork-based framework that lets continually learning AI systems erase specific tasks without access to the original ...