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Jonas A. Geiping

2 accepted papers

2024

Investigating Style Similarity in Diffusion Models

ECCV 2024poster

"Generative models are now widely used by graphic designers and artists. Prior works have shown that these models remember and often replicate content from their training data during generation. Hence as their proliferation increases, it has become important to perform a database search to determine…

Cited by 0SourcePDFScholar
2022

Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification

ICML 2022spotlight

Federated learning (FL) has rapidly risen in popularity due to its promise of privacy and efficiency. Previous works have exposed privacy vulnerabilities in the FL pipeline by recovering user data from gradient updates. However, existing attacks fail to address realistic settings because they either…