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Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
Research article (Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021) · cited 89× · AI/ML
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
Summary
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models is a scholarly article[1].
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Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/be-careful-about-poisoned-word-embeddings-exploring-the-vulnerability-of-the-embedding-layers-in-nlp-models
MLA“Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/be-careful-about-poisoned-word-embeddings-exploring-the-vulnerability-of-the-embedding-layers-in-nlp-models.
BibTeX@misc{4ortxyz_be-careful-about-poisoned-word-embeddings-exploring-the-vulnerability-of-the-embedding-layers-in-nlp-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models}}, year = {2026}, url = {https://4ort.xyz/entity/be-careful-about-poisoned-word-embeddings-exploring-the-vulnerability-of-the-embedding-layers-in-nlp-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models — https://4ort.xyz/entity/be-careful-about-poisoned-word-embeddings-exploring-the-vulnerability-of-the-embedding-layers-in-nlp-models (retrieved 2026-05-24)
