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DeepMask: Masking DNN Models for robustness against adversarial samples.

Research article (arXiv (Cornell University), 2017) · cited 10× · AI/ML
academia openalex:W2589843466
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DeepMask: Masking DNN Models for robustness against adversarial samples.

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DeepMask: Masking DNN Models for robustness against adversarial samples. is a scholarly article[1].

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  • DeepMask: Masking DNN Models for robustness against adversarial samples.'s instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). DeepMask: Masking DNN Models for robustness against adversarial samples.. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepmask-masking-dnn-models-for-robustness-against-adversarial-samples
MLA “DeepMask: Masking DNN Models for robustness against adversarial samples..” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepmask-masking-dnn-models-for-robustness-against-adversarial-samples.
BibTeX @misc{4ortxyz_deepmask-masking-dnn-models-for-robustness-against-adversarial-samples_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepMask: Masking DNN Models for robustness against adversarial samples.}}, year = {2026}, url = {https://4ort.xyz/entity/deepmask-masking-dnn-models-for-robustness-against-adversarial-samples}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepMask: Masking DNN Models for robustness against adversarial samples. — https://4ort.xyz/entity/deepmask-masking-dnn-models-for-robustness-against-adversarial-samples (retrieved 2026-05-24)

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