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On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

Research article (2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022) · cited 27× · AI/ML
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On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

Summary

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks is a scholarly article[1].

Key Facts

  • On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks'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). On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-the-effectiveness-of-small-input-noise-for-defending-against-query-based-black-box-attacks
MLA “On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-the-effectiveness-of-small-input-noise-for-defending-against-query-based-black-box-attacks.
BibTeX @misc{4ortxyz_on-the-effectiveness-of-small-input-noise-for-defending-against-query-based-black-box-attacks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks}}, year = {2026}, url = {https://4ort.xyz/entity/on-the-effectiveness-of-small-input-noise-for-defending-against-query-based-black-box-attacks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks — https://4ort.xyz/entity/on-the-effectiveness-of-small-input-noise-for-defending-against-query-based-black-box-attacks (retrieved 2026-05-24)

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