Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models-Reference-Cited by-同舟云学术

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Olson Matthew L.¹,Liu Shusen²,Anirudh Rushil²,Thiagarajan Jayaraman J.²,Bremer Peer-Timo²,Wong Weng-Keen¹

Affiliation:

1. Oregon State University - EECS

2. Lawrence Livermore National Laboratory - CASC

Publisher

IEEE

Link

Reference43 articles.

2. Encoding robustness to image style via adversarial feature perturbations;shu;Advances in neural information processing systems,2021

3. Generative adversarial nets;goodfellow;Advances in neural information processing systems,2014

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