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DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

Research article (Proceedings of the 31st ACM International Conference on Multimedia, 2023) · cited 27× · AI/ML
academia openalex:W4388189737
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DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

Summary

DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues is a scholarly article[1].

Key Facts

  • DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues's instance of is recorded as scholarly article[2].

Related Entities

Kui Ren Lorenzo Cavallaro

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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). DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues. Retrieved May 24, 2026, from https://4ort.xyz/entity/dfil-deepfake-incremental-learning-by-exploiting-domain-invariant-forgery-clues
MLA “DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dfil-deepfake-incremental-learning-by-exploiting-domain-invariant-forgery-clues.
BibTeX @misc{4ortxyz_dfil-deepfake-incremental-learning-by-exploiting-domain-invariant-forgery-clues_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues}}, year = {2026}, url = {https://4ort.xyz/entity/dfil-deepfake-incremental-learning-by-exploiting-domain-invariant-forgery-clues}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues — https://4ort.xyz/entity/dfil-deepfake-incremental-learning-by-exploiting-domain-invariant-forgery-clues (retrieved 2026-05-24)

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