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LWT–DSR based new robust framework for watermark extraction under intentional attack conditions

Research article (Journal of the Franklin Institute, 2017) · cited 14× · AI/ML
academia openalex:W2738166615
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LWT–DSR based new robust framework for watermark extraction under intentional attack conditions

Summary

LWT–DSR based new robust framework for watermark extraction under intentional attack conditions is a scholarly article[1].

Key Facts

  • LWT–DSR based new robust framework for watermark extraction under intentional attack conditions's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). LWT–DSR based new robust framework for watermark extraction under intentional attack conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/lwtdsr-based-new-robust-framework-for-watermark-extraction-under-intentional-attack-conditions
MLA “LWT–DSR based new robust framework for watermark extraction under intentional attack conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lwtdsr-based-new-robust-framework-for-watermark-extraction-under-intentional-attack-conditions.
BibTeX @misc{4ortxyz_lwtdsr-based-new-robust-framework-for-watermark-extraction-under-intentional-attack-conditions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LWT–DSR based new robust framework for watermark extraction under intentional attack conditions}}, year = {2026}, url = {https://4ort.xyz/entity/lwtdsr-based-new-robust-framework-for-watermark-extraction-under-intentional-attack-conditions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LWT–DSR based new robust framework for watermark extraction under intentional attack conditions — https://4ort.xyz/entity/lwtdsr-based-new-robust-framework-for-watermark-extraction-under-intentional-attack-conditions (retrieved 2026-05-24)

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