Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. Retrieved May 24, 2026, from https://4ort.xyz/entity/cmua-watermark-a-cross-model-universal-adversarial-watermark-for-combating-deepfakes
MLA“CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cmua-watermark-a-cross-model-universal-adversarial-watermark-for-combating-deepfakes.
BibTeX@misc{4ortxyz_cmua-watermark-a-cross-model-universal-adversarial-watermark-for-combating-deepfakes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes}}, year = {2026}, url = {https://4ort.xyz/entity/cmua-watermark-a-cross-model-universal-adversarial-watermark-for-combating-deepfakes}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes — https://4ort.xyz/entity/cmua-watermark-a-cross-model-universal-adversarial-watermark-for-combating-deepfakes (retrieved 2026-05-24)
