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Refinado por: assunto: Machine Learning remover assunto: Privacy remover
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Privacy-preserving federated learning based on partial low-quality data
Privacy-preserving federated learning based on partial low-quality data
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Privacy-preserving federated learning based on partial low-quality data

Wang, Huiyong ; Wang, Qi ; Ding, Yong ; Tang, Shijie ; Wang, Yujue

Journal of Cloud Computing, 2024-12, Vol.13 (1), p.62-16, Article 62 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Blockchain meets machine learning: a survey
Blockchain meets machine learning: a survey
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Blockchain meets machine learning: a survey

Kayikci, Safak ; Khoshgoftaar, Taghi M.

Journal of Big Data, 2024-12, Vol.11 (1), p.9-29, Article 9 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
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Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning

Liu, Ji ; Chen, Chunlu ; Li, Yu ; Sun, Lin ; Song, Yulun ; Zhou, Jingbo ; Jing, Bo ; Dou, Dejing

Knowledge and information systems, 2024-08, Vol.66 (8), p.4377-4403 [Periódico revisado por pares]

London: Springer London

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4
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
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Differential Privacy Mechanisms in Neural Tangent Kernel Regression

Gu, Jiuxiang ; Liang, Yingyu ; Sha, Zhizhou ; Shi, Zhenmei ; Zhao, Song

arXiv.org, 2024-07

Ithaca: Cornell University Library, arXiv.org

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5
Improved Membership Inference Attacks Against Language Classification Models
Improved Membership Inference Attacks Against Language Classification Models
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Improved Membership Inference Attacks Against Language Classification Models

Shachor, Shlomit ; Razinkov, Natalia ; Goldsteen, Abigail

arXiv.org, 2024-07

Ithaca: Cornell University Library, arXiv.org

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6
Privacy Side Channels in Machine Learning Systems
Privacy Side Channels in Machine Learning Systems
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Privacy Side Channels in Machine Learning Systems

Debenedetti, Edoardo ; Severi, Giorgio ; Carlini, Nicholas ; Choquette-Choo, Christopher A ; Jagielski, Matthew ; Nasr, Milad ; Wallace, Eric ; Tramèr, Florian

arXiv.org, 2024-07

Ithaca: Cornell University Library, arXiv.org

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7
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
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Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses

Gao, Changyu ; Lowy, Andrew ; Zhou, Xingyu ; Wright, Stephen J

arXiv.org, 2024-07

Ithaca: Cornell University Library, arXiv.org

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PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
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PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

Hou, Charlie ; Shrivastava, Akshat ; Zhan, Hongyuan ; Conway, Rylan ; Le, Trang ; Sagar, Adithya ; Fanti, Giulia ; Lazar, Daniel

arXiv.org, 2024-07

Ithaca: Cornell University Library, arXiv.org

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9
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
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Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining

Tramèr, Florian ; Kamath, Gautam ; Carlini, Nicholas

arXiv.org, 2024-07

Ithaca: Cornell University Library, arXiv.org

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10
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
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Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD

Thudi, Anvith ; Jia, Hengrui ; Meehan, Casey ; Shumailov, Ilia ; Papernot, Nicolas

arXiv.org, 2024-07

Ithaca: Cornell University Library, arXiv.org

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