Differentially private GANs by adding noise to Discriminator’s loss

Research article (Computers & Security, 2021) · cited 18× · AI/ML
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Differentially private GANs by adding noise to Discriminator’s loss

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Differentially private GANs by adding noise to Discriminator’s loss is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Differentially private GANs by adding noise to Discriminator’s loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/differentially-private-gans-by-adding-noise-to-discriminators-loss
MLA “Differentially private GANs by adding noise to Discriminator’s loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/differentially-private-gans-by-adding-noise-to-discriminators-loss.
BibTeX @misc{4ortxyz_differentially-private-gans-by-adding-noise-to-discriminators-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Differentially private GANs by adding noise to Discriminator’s loss}}, year = {2026}, url = {https://4ort.xyz/entity/differentially-private-gans-by-adding-noise-to-discriminators-loss}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Differentially private GANs by adding noise to Discriminator’s loss — https://4ort.xyz/entity/differentially-private-gans-by-adding-noise-to-discriminators-loss (retrieved 2026-05-24)

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