@article{ART003148618},
author={Ji-Hun Kim and Seok-Min Hong and Yongtae Shin},
title={A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2024},
volume={20},
number={4},
pages={81-89}
TY - JOUR
AU - Ji-Hun Kim
AU - Seok-Min Hong
AU - Yongtae Shin
TI - A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques
JO - Journal of Software Assessment and Valuation
PY - 2024
VL - 20
IS - 4
PB - Korea Software Assessment and Valuation Society
SP - 81
EP - 89
SN - 2092-8114
AB - Due to the rapid spread of OTT platforms and the increase in digital content consumption, the importance of preventing illegal copying of content is being emphasized more. AI technology is positioned as a key tool in content protection and management. However, the development of AI technology has the potential to be used with malicious intent. As for copyright infringement using AI, watermark removal is typical. Deep learning technology is mainly used to remove watermarks using AI. Adversarial watermarks are attracting attention as a countermeasure to watermark removal using AI. However, it is difficult to know which method of implementing adversarial watermarks between various adversarial watermark technologies is most efficient. Therefore, in this paper, a comparative study and performance analysis of adversarial watermark technology are conducted.
KW - copyright infringement;watermark removal;adversarial watermark;performance comparison;SSIM;model confusion
DO -
UR -
ER -
Ji-Hun Kim, Seok-Min Hong and Yongtae Shin. (2024). A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques. Journal of Software Assessment and Valuation, 20(4), 81-89.
Ji-Hun Kim, Seok-Min Hong and Yongtae Shin. 2024, "A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques", Journal of Software Assessment and Valuation, vol.20, no.4 pp.81-89.
Ji-Hun Kim, Seok-Min Hong, Yongtae Shin "A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques" Journal of Software Assessment and Valuation 20.4 pp.81-89 (2024) : 81.
Ji-Hun Kim, Seok-Min Hong, Yongtae Shin. A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques. 2024; 20(4), 81-89.
Ji-Hun Kim, Seok-Min Hong and Yongtae Shin. "A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques" Journal of Software Assessment and Valuation 20, no.4 (2024) : 81-89.
Ji-Hun Kim; Seok-Min Hong; Yongtae Shin. A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques. Journal of Software Assessment and Valuation, 20(4), 81-89.
Ji-Hun Kim; Seok-Min Hong; Yongtae Shin. A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques. Journal of Software Assessment and Valuation. 2024; 20(4) 81-89.
Ji-Hun Kim, Seok-Min Hong, Yongtae Shin. A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques. 2024; 20(4), 81-89.
Ji-Hun Kim, Seok-Min Hong and Yongtae Shin. "A Comparative Study and Performance Analysis of Adversarial Watermarking Techniques" Journal of Software Assessment and Valuation 20, no.4 (2024) : 81-89.
