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A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.

Research article (arXiv (Cornell University), 2016) · cited 15× · AI/ML
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A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.

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A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise. is a scholarly article[1].

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  • A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-theoretical-framework-for-robustness-of-deep-classifiers-under-adversarial-noise
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BibTeX @misc{4ortxyz_a-theoretical-framework-for-robustness-of-deep-classifiers-under-adversarial-noise_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.}}, year = {2026}, url = {https://4ort.xyz/entity/a-theoretical-framework-for-robustness-of-deep-classifiers-under-adversarial-noise}, note = {Accessed: 2026-05-24}}
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