OptiSGD-DPWGAN: Integrating Metaheuristic Algorithms and Differential Privacy to Improve Privacy-Utility Trade-Off in Generative Models

Recently, the necessity to balance model performance with data confidentiality in synthetic data generation has become a significant challenge in deep learning analysis of medical databases. In this paper, the OptiSGD-DPWGAN model is proposed, that incorporates metaheuristic algorithms and different...

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Ngā kaituhi matua:	Alshaymaa Ahmed Mohamed, Yasmine N. M. Saleh, Ayman A. Abdel-Hamid
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	IEEE 2024-01-01
Rangatū:	IEEE Access
Ngā marau:	Differential privacy deep learning generative adversarial network privacy-utility tradeoff stochastic gradient descent
Urunga tuihono:	https://ieeexplore.ieee.org/document/10758629/
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!