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Found 4 papers, 2 papers with code
Measuring the Success of Diffusion Models at Imitating Human Artists
When Stable Diffusion is prompted to imitate an artist from this set, we find that the artist can be identified from the imitation with an average accuracy of 81. 0%.
Training Data Attribution for Diffusion Models
The resulting model ensembles enable efficient ablation of training data influence, allowing us to assess the impact of training data on model outputs.
Constrained Submodular Optimization for Vaccine Design
Advances in machine learning have enabled the prediction of immune system responses to prophylactic and therapeutic vaccines.
Image classifiers can not be made robust to small perturbations
The sensitivity of image classifiers to small perturbations in the input is often viewed as a defect of their construction.
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