Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data

1 code implementation • 10 Oct 2023 • Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf, Kristian Kersting

To address this challenge, we propose a novel approach that enables model training on potentially poisoned datasets by utilizing the power of recent diffusion models.

Knowledge Distillation