Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). privGAN: Protecting GANs from membership inference attacks at low cost to utility. Retrieved May 24, 2026, from https://4ort.xyz/entity/privgan-protecting-gans-from-membership-inference-attacks-at-low-cost-to-utility
MLA“privGAN: Protecting GANs from membership inference attacks at low cost to utility.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/privgan-protecting-gans-from-membership-inference-attacks-at-low-cost-to-utility.
BibTeX@misc{4ortxyz_privgan-protecting-gans-from-membership-inference-attacks-at-low-cost-to-utility_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{privGAN: Protecting GANs from membership inference attacks at low cost to utility}}, year = {2026}, url = {https://4ort.xyz/entity/privgan-protecting-gans-from-membership-inference-attacks-at-low-cost-to-utility}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): privGAN: Protecting GANs from membership inference attacks at low cost to utility — https://4ort.xyz/entity/privgan-protecting-gans-from-membership-inference-attacks-at-low-cost-to-utility (retrieved 2026-05-24)
