Abstract: A synthetic data generation apparatus according to an embodiment includes a generator for generating synthetic data from an input value, a first discriminator learned to distinguish between actual data and the synthetic data, a second discriminator learned to distinguish between the actual data and the synthetic data while satisfying differential privacy, and a third discriminator learned to distinguish between first synthetic data which is output from the generator learned by the first discriminator and second synthetic data which is output from the generator learned by the second discriminator.

Abstract: An apparatus for anonymizing personal information according to an embodiment may include an encoder configured to generate an input latent vector by extracting a feature of input data, a generator configured to generate reconstructed data by demodulating a predetermined content vector based on a style vector generated based on the input latent vector, and a discriminator configured to discriminate genuine data and fake data by receiving the reconstructed data and real data.

Abstract: A synthetic data generation apparatus according to an embodiment includes a generator for generating synthetic data from an input value, a first discriminator learned to distinguish between actual data and the synthetic data, a second discriminator learned to distinguish between the actual data and the synthetic data while satisfying differential privacy, and a third discriminator learned to distinguish between first synthetic data which is output from the generator learned by the first discriminator and second synthetic data which is output from the generator learned by the second discriminator.