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Certified Robustness to Adversarial Word Substitutions

Research article (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) · cited 241× · AI/ML
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Certified Robustness to Adversarial Word Substitutions

Summary

Certified Robustness to Adversarial Word Substitutions is a scholarly article[1].

Key Facts

  • Certified Robustness to Adversarial Word Substitutions's instance of is recorded as scholarly article[2].

Related Entities

Percy Liang

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). Certified Robustness to Adversarial Word Substitutions. Retrieved May 24, 2026, from https://4ort.xyz/entity/certified-robustness-to-adversarial-word-substitutions
MLA “Certified Robustness to Adversarial Word Substitutions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/certified-robustness-to-adversarial-word-substitutions.
BibTeX @misc{4ortxyz_certified-robustness-to-adversarial-word-substitutions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Certified Robustness to Adversarial Word Substitutions}}, year = {2026}, url = {https://4ort.xyz/entity/certified-robustness-to-adversarial-word-substitutions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Certified Robustness to Adversarial Word Substitutions — https://4ort.xyz/entity/certified-robustness-to-adversarial-word-substitutions (retrieved 2026-05-24)

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