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Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models

Research article (Proceedings of the ACM Web Conference 2024, 2024) · cited 13× · AI/ML
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Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models

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Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/federated-learning-vulnerabilities-privacy-attacks-with-denoising-diffusion-probabilistic-models
MLA “Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/federated-learning-vulnerabilities-privacy-attacks-with-denoising-diffusion-probabilistic-models.
BibTeX @misc{4ortxyz_federated-learning-vulnerabilities-privacy-attacks-with-denoising-diffusion-probabilistic-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models}}, year = {2026}, url = {https://4ort.xyz/entity/federated-learning-vulnerabilities-privacy-attacks-with-denoising-diffusion-probabilistic-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models — https://4ort.xyz/entity/federated-learning-vulnerabilities-privacy-attacks-with-denoising-diffusion-probabilistic-models (retrieved 2026-05-24)

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