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More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models

Research article (2020) · cited 19× · AI/ML
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More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models

Summary

More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models is a scholarly article[1].

Key Facts

  • More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models's instance of is recorded as scholarly article[2].

References

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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). More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/more-data-can-expand-the-generalization-gap-between-adversarially-robust-and-standard-models
MLA “More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/more-data-can-expand-the-generalization-gap-between-adversarially-robust-and-standard-models.
BibTeX @misc{4ortxyz_more-data-can-expand-the-generalization-gap-between-adversarially-robust-and-standard-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models}}, year = {2026}, url = {https://4ort.xyz/entity/more-data-can-expand-the-generalization-gap-between-adversarially-robust-and-standard-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models — https://4ort.xyz/entity/more-data-can-expand-the-generalization-gap-between-adversarially-robust-and-standard-models (retrieved 2026-05-24)

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