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

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

19 March 2023
Matthew Lyle Olson
Shusen Liu
Rushil Anirudh
Jayaraman J. Thiagarajan
P. Bremer
Weng-Keen Wong
ArXivPDFHTML

Papers citing "Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models"

3 / 3 papers shown
Title
Challenges and Remedies to Privacy and Security in AIGC: Exploring the
  Potential of Privacy Computing, Blockchain, and Beyond
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Chuan Chen
Zhenpeng Wu
Yan-Hao Lai
Wen-chao Ou
Tianchi Liao
Zibin Zheng
22
32
0
01 Jun 2023
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
40
186
0
17 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
1