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MEA-Defender: A Robust Watermark against Model Extraction Attack

Research article (2024 IEEE Symposium on Security and Privacy (SP), 2024) · cited 17× · AI/ML
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MEA-Defender: A Robust Watermark against Model Extraction Attack

Summary

MEA-Defender: A Robust Watermark against Model Extraction Attack is a scholarly article[1].

Key Facts

  • MEA-Defender: A Robust Watermark against Model Extraction Attack's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). MEA-Defender: A Robust Watermark against Model Extraction Attack. Retrieved May 24, 2026, from https://4ort.xyz/entity/mea-defender-a-robust-watermark-against-model-extraction-attack
MLA “MEA-Defender: A Robust Watermark against Model Extraction Attack.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mea-defender-a-robust-watermark-against-model-extraction-attack.
BibTeX @misc{4ortxyz_mea-defender-a-robust-watermark-against-model-extraction-attack_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MEA-Defender: A Robust Watermark against Model Extraction Attack}}, year = {2026}, url = {https://4ort.xyz/entity/mea-defender-a-robust-watermark-against-model-extraction-attack}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MEA-Defender: A Robust Watermark against Model Extraction Attack — https://4ort.xyz/entity/mea-defender-a-robust-watermark-against-model-extraction-attack (retrieved 2026-05-24)

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