Challenge Description: As part of the workshop, this year also, we are organizing the Generative Machine Unlearning Challenge (Genμ 2.0) to benchmark and advance research in generative machine unlearning and model editing. The 2026 update expands the original Genμ concept-unlearning benchmark into a broader privacy-preserving suite co-located with the U&ME Workshop at ECCV 2026. Three tracks test whether a generative model can forget one specified identity or concept without damaging nearby identities, attributes, styles, or general generation quality. Check out this link to participate and find for more details on the challenge.