Search Results for author: Landan Seguin

Found 2 papers, 1 papers with code

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

1 code implementation25 Oct 2023 Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov

This task presents two challenges: (1) high-resolution CC images lack the captions necessary to train text-to-image generative models; (2) CC images are relatively scarce.

Transfer Learning

Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks

no code implementations26 Aug 2021 Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee

Motivated by a recent study on learning robustness without input perturbations by distilling an AT model, we explore what is learned during adversarial training by analyzing the distribution of logits in AT models.

Adversarial Robustness

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