@article{ART003277347},
author={Park Sunghwan and KimJongSeong and Byunghoon Oh and HWANG YO HAN and Junho Hong and Jaewoo Lee},
title={Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2025},
volume={21},
number={4},
pages={63-77}
TY - JOUR
AU - Park Sunghwan
AU - KimJongSeong
AU - Byunghoon Oh
AU - HWANG YO HAN
AU - Junho Hong
AU - Jaewoo Lee
TI - Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer
JO - Journal of Software Assessment and Valuation
PY - 2025
VL - 21
IS - 4
PB - Korea Software Assessment and Valuation Society
SP - 63
EP - 77
SN - 2092-8114
AB - Neural Style Transfer poses a significant threat to the intellectual property rights of digital artists, as it can extract and replicate unique artistic styles without consent or compensation. Existing protection techniques face a fundamental trade-off: they either degrade image quality for effective protection or offer minimal protection to preserve quality. This paper proposes a novel region-specific noise generation that solves this trade-off by spatially segregating protection objectives. Our method divides an image into two distinct regions and applies different perturbation strategies to each: a small patch region (2% of image area) receives strong perturbations to hijack the attention mechanism, while the background region (98%) is subjected to minimal perturbations to corrupt global feature statistics. The key innovation lies in the spatial separation that fundamentally eliminates gradient interference between different loss objectives.
Experimental results demonstrate that our method achieves over 90% reduction in style transfer effectiveness (STDR 0.8995) while maintaining high visual quality (SSIM 0.8624), representing a 38% improvement in protection efficiency compared to existing methods.
KW - Neural Style Transfer;Untransferable Examples;Adversarial Attack;;Region-specific optimization;Copyright Content Protection
DO -
UR -
ER -
Park Sunghwan, KimJongSeong, Byunghoon Oh, HWANG YO HAN, Junho Hong and Jaewoo Lee. (2025). Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer. Journal of Software Assessment and Valuation, 21(4), 63-77.
Park Sunghwan, KimJongSeong, Byunghoon Oh, HWANG YO HAN, Junho Hong and Jaewoo Lee. 2025, "Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer", Journal of Software Assessment and Valuation, vol.21, no.4 pp.63-77.
Park Sunghwan, KimJongSeong, Byunghoon Oh, HWANG YO HAN, Junho Hong, Jaewoo Lee "Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer" Journal of Software Assessment and Valuation 21.4 pp.63-77 (2025) : 63.
Park Sunghwan, KimJongSeong, Byunghoon Oh, HWANG YO HAN, Junho Hong, Jaewoo Lee. Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer. 2025; 21(4), 63-77.
Park Sunghwan, KimJongSeong, Byunghoon Oh, HWANG YO HAN, Junho Hong and Jaewoo Lee. "Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer" Journal of Software Assessment and Valuation 21, no.4 (2025) : 63-77.
Park Sunghwan; KimJongSeong; Byunghoon Oh; HWANG YO HAN; Junho Hong; Jaewoo Lee. Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer. Journal of Software Assessment and Valuation, 21(4), 63-77.
Park Sunghwan; KimJongSeong; Byunghoon Oh; HWANG YO HAN; Junho Hong; Jaewoo Lee. Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer. Journal of Software Assessment and Valuation. 2025; 21(4) 63-77.
Park Sunghwan, KimJongSeong, Byunghoon Oh, HWANG YO HAN, Junho Hong, Jaewoo Lee. Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer. 2025; 21(4), 63-77.
Park Sunghwan, KimJongSeong, Byunghoon Oh, HWANG YO HAN, Junho Hong and Jaewoo Lee. "Region-Specific Noise Generation for Untransferable Examples Against Neural Style Transfer" Journal of Software Assessment and Valuation 21, no.4 (2025) : 63-77.
