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pro vyhledávání: '"Riontino, Mario S."'
We explore the training of generative adversarial networks with differential privacy to anonymize image data sets. On MNIST, we numerically measure the privacy-utility trade-off using parameters from $\epsilon$-$\delta$ differential privacy and the i
Externí odkaz:
http://arxiv.org/abs/2005.00783
