TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development
Author:
Affiliation:
1. Zhejiang University, Hangzhou, China / Huawei Technology, Shanghai, China
2. Zhejiang University, Hangzhou, China
3. Huawei International, Singapore, Singapore
4. Zhejiang University, Hangzhou, China / Hangzhou Dianzi University, Hangzhou, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3650212.3680375
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3. 2023. AI Art Copyright Lawsuit. https://www.theverge.com/2023/2/6/23587393/ai-art-copyright-lawsuit-getty-images-stable-diffusion
4. Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok. 2018. Synthesizing robust adversarial examples. In International conference on machine learning. 284–293.
5. William H Beyer. 2019. Handbook of tables for probability and statistics. Crc Press.
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