DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2021) · cited 31× · AI/ML

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DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation

Summary

DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation is a scholarly article^[1].

Key Facts

DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation's instance of is recorded as scholarly article^[2].

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Authored by 5

Gaolei Li, Mingzhe Chen, Shenghong Li, Vincent Poor, Zhicong Yan

← Author of 5

Gaolei Li, Mingzhe Chen, Shenghong Li, Vincent Poor, Zhicong Yan

References

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Direct Wikidata claims

[2] ↑ DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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APA

4ort.xyz Knowledge Graph. (2026). DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation. Retrieved May 24, 2026, from https://4ort.xyz/entity/dehib-deep-hidden-backdoor-attack-on-semi-supervised-learning-via-adversarial-perturbation

MLA

“DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dehib-deep-hidden-backdoor-attack-on-semi-supervised-learning-via-adversarial-perturbation.

BibTeX

@misc{4ortxyz_dehib-deep-hidden-backdoor-attack-on-semi-supervised-learning-via-adversarial-perturbation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation}}, year = {2026}, url = {https://4ort.xyz/entity/dehib-deep-hidden-backdoor-attack-on-semi-supervised-learning-via-adversarial-perturbation}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation — https://4ort.xyz/entity/dehib-deep-hidden-backdoor-attack-on-semi-supervised-learning-via-adversarial-perturbation (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/dehib-deep-hidden-backdoor-attack-on-semi-supervised-learning-via-adversarial-perturbation · Last refreshed: May 24, 2026