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Protection of sensitive data contained in images
 Mezina, Anzhelika ; Rajnoha, Martin (oponent) ; Burget, Radim (vedoucí práce)
This work is focused on application of deep learning in security problem of escape sensitive information, that is contained in images. The presented solution of this problem is using Single Shot Multibox Detector and Fully Connected Network (FCN). FCN is faster than other methods and can be applied in industry, where is a need to analyse input and output information very quickly, for example, in network traffic analysis. In the first part of this work, methods that can be used in keyword detection are described. The second part contains a description of experiment and achieved results for two models of neural network: Single Shot Multibox Detector and Fully Connected Network. The second one gave better results and can be used in practice.
Úplný záznam
Protection of sensitive data contained in images
 Mezina, Anzhelika ; Rajnoha, Martin (oponent) ; Burget, Radim (vedoucí práce)
This work is focused on application of deep learning in security problem of escape sensitive information, that is contained in images. The presented solution of this problem is using Single Shot Multibox Detector and Fully Connected Network (FCN). FCN is faster than other methods and can be applied in industry, where is a need to analyse input and output information very quickly, for example, in network traffic analysis. In the first part of this work, methods that can be used in keyword detection are described. The second part contains a description of experiment and achieved results for two models of neural network: Single Shot Multibox Detector and Fully Connected Network. The second one gave better results and can be used in practice.
Úplný záznam

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