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Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 119× · AI/ML
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Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage

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Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage is a scholarly article[1].

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  • Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. Retrieved May 24, 2026, from https://4ort.xyz/entity/auditing-privacy-defenses-in-federated-learning-via-generative-gradient-leakage
MLA “Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/auditing-privacy-defenses-in-federated-learning-via-generative-gradient-leakage.
BibTeX @misc{4ortxyz_auditing-privacy-defenses-in-federated-learning-via-generative-gradient-leakage_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage}}, year = {2026}, url = {https://4ort.xyz/entity/auditing-privacy-defenses-in-federated-learning-via-generative-gradient-leakage}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage — https://4ort.xyz/entity/auditing-privacy-defenses-in-federated-learning-via-generative-gradient-leakage (retrieved 2026-05-24)

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