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Backdoor Learning: A Survey

Research article (IEEE Transactions on Neural Networks and Learning Systems, 2022) · cited 569× · AI/ML
CreativeWork academia

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1 property
Instance of
scholarly article[2]

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Authored by 3
Shu‐Tao Xia, Yiming Li, Zhifeng Li
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Shu‐Tao Xia, Yiming Li, Zhifeng Li
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Summary

Backdoor Learning: A Survey is a scholarly article[1].

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). Backdoor Learning: A Survey. Retrieved May 24, 2026, from https://4ort.xyz/entity/backdoor-learning-a-survey
MLA “Backdoor Learning: A Survey.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/backdoor-learning-a-survey.
BibTeX @misc{4ortxyz_backdoor-learning-a-survey_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Backdoor Learning: A Survey}}, year = {2026}, url = {https://4ort.xyz/entity/backdoor-learning-a-survey}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Backdoor Learning: A Survey — https://4ort.xyz/entity/backdoor-learning-a-survey (retrieved 2026-05-24)

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