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A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric

Research article (Proceedings of the Second Workshop on Privacy in NLP, 2020) · cited 34× · AI/ML
academia openalex:W3099692016
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A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric

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A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric is a scholarly article[1].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-differentially-private-text-perturbation-method-using-regularized-mahalanobis-metric
MLA “A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-differentially-private-text-perturbation-method-using-regularized-mahalanobis-metric.
BibTeX @misc{4ortxyz_a-differentially-private-text-perturbation-method-using-regularized-mahalanobis-metric_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric}}, year = {2026}, url = {https://4ort.xyz/entity/a-differentially-private-text-perturbation-method-using-regularized-mahalanobis-metric}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric — https://4ort.xyz/entity/a-differentially-private-text-perturbation-method-using-regularized-mahalanobis-metric (retrieved 2026-05-24)

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