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04/16/2022
Assessing Differentially Private Variational Autoencoders under Membership Inference
We present an approach to quantify and compare the privacy-accuracy trad...
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03/04/2021
Quantifying identifiability to choose and audit ε in differentially private deep learning
Differential privacy allows bounding the influence that training data re...
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03/04/2021
On the privacy-utility trade-off in differentially private hierarchical text classification
Hierarchical models for text classification can leak sensitive or confid...
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12/24/2019
Assessing differentially private deep learning with Membership Inference
Releasing data in the form of trained neural networks with differential ...
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06/07/2019
Reconstruction and Membership Inference Attacks against Generative Models
We present two information leakage attacks that outperform previous work...
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07/06/2018
