A tight context-aware leakage bound for general linear queries is derived under a prior probability lower bound, proven strictly tighter than differential privacy and converging to it as the bound approaches zero.
Pointwise maximal leakage
2 Pith papers cite this work. Polarity classification is still indexing.
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X-VAE uses empirical statistics from a pretrained autoencoder to set a data-adaptive Gaussian prior and introduces a latent scaling factor for controllable generation.
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eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions
X-VAE uses empirical statistics from a pretrained autoencoder to set a data-adaptive Gaussian prior and introduces a latent scaling factor for controllable generation.