GANobfuscator: Mitigating Information Leakage Under GAN via Differential Privacy
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DOI: 10.1109/tifs.2019.2897874
Abstract: By learning generative models of semantic-rich data distributions from samples, generative adversarial network (GAN) has recently attracted intensive research interests due to its excellent empirical performance as a generative model. The model is used to… read more here.
Keywords: gan; differential privacy; information leakage; privacy ... See more keywords