PGU projects unlearning gradients orthogonal to a retain-concept Core Gradient Space, eliminating style-concept revival and delaying object-concept revival while running in minutes and complementing prior methods.
Denoising Diffusion Probabilistic Models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Projected Gradient Unlearning for Text-to-Image Diffusion Models: Defending Against Concept Revival Attacks
PGU projects unlearning gradients orthogonal to a retain-concept Core Gradient Space, eliminating style-concept revival and delaying object-concept revival while running in minutes and complementing prior methods.