FADE combines adversarial training with trajectory preservation to erase concepts from diffusion models, reporting state-of-the-art erasure on Stable Diffusion benchmarks, but the evidence is incomplete and the theoretical guarantee is a standard GAN result.
Overview of the nlpcc 2023 shared task: Chinese medical instructional video question answering
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FADE: Adversarial Concept Erasure in Flow Models
FADE combines adversarial training with trajectory preservation to erase concepts from diffusion models, reporting state-of-the-art erasure on Stable Diffusion benchmarks, but the evidence is incomplete and the theoretical guarantee is a standard GAN result.