Differential privacy for deep and federated learning: A survey
A El Ouadrhiri, A Abdelhadi - IEEE access, 2022 - ieeexplore.ieee.org
Users' privacy is vulnerable at all stages of the deep learning process. Sensitive information
of users may be disclosed during data collection, during training, or even after releasing the …
of users may be disclosed during data collection, during training, or even after releasing the …
[PDF][PDF] Differential Privacy for Deep and Federated Learning: A Survey
A EL OUADRHIRI, A ABDELHADI - scholar.archive.org
Users' privacy is vulnerable at all stages of the deep learning process. Sensitive information
of users may be disclosed during data collection, or during training, or even after releasing …
of users may be disclosed during data collection, or during training, or even after releasing …
[引用][C] Differential Privacy for Deep and Federated Learning: A Survey
AE Ouadrhiri, A Abdelhadi - IEEE Access, 2022 - ui.adsabs.harvard.edu
Differential Privacy for Deep and Federated Learning: A Survey - NASA/ADS Now on home
page ads icon ads Enable full ADS view NASA/ADS Differential Privacy for Deep and …
page ads icon ads Enable full ADS view NASA/ADS Differential Privacy for Deep and …