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). GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. Retrieved May 24, 2026, from https://4ort.xyz/entity/gs-wgan-a-gradient-sanitized-approach-for-learning-differentially-private-generators
MLA“GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gs-wgan-a-gradient-sanitized-approach-for-learning-differentially-private-generators.
BibTeX@misc{4ortxyz_gs-wgan-a-gradient-sanitized-approach-for-learning-differentially-private-generators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators}}, year = {2026}, url = {https://4ort.xyz/entity/gs-wgan-a-gradient-sanitized-approach-for-learning-differentially-private-generators}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators — https://4ort.xyz/entity/gs-wgan-a-gradient-sanitized-approach-for-learning-differentially-private-generators (retrieved 2026-05-24)
