Evading Watermark based Detection of AI-Generated Content-Reference-Cited by-同舟云学术

Evading Watermark based Detection of AI-Generated Content

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Jiang Zhengyuan¹^ORCID,Zhang Jinghuai¹^ORCID,Gong Neil Zhenqiang¹^ORCID

Affiliation:

1. Duke University, Durham, NC, USA

Funder

NSF

ARO

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3623189

Reference46 articles.

1. Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

2. ARTnews. 2023. US Copyright Office: AI Generated Works Are Not Eligible for Copyright. https://www.artnews.com/art-news/news/ai-generator-art-text-us-copyright-policy-1234661683.

3. Ning Bi, Qiyu Sun, Daren Huang, Zhihua Yang, and Jiwu Huang. 2007. Robust image watermarking based on multiband wavelets and empirical mode decomposition. IEEE Transactions on Image Processing (2007).

4. Understanding the Security of Deepfake Detection

5. Towards Evaluating the Robustness of Neural Networks

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