Search Results for author: Francesco Aldà

Found 2 papers, 1 papers with code

On the privacy-utility trade-off in differentially private hierarchical text classification

1 code implementation4 Mar 2021 Dominik Wunderlich, Daniel Bernau, Francesco Aldà, Javier Parra-Arnau, Thorsten Strufe

This work investigates the privacy-utility trade-off in hierarchical text classification with differential privacy guarantees, and identifies neural network architectures that offer superior trade-offs.

General Classification Inference Attack +4

Pain-Free Random Differential Privacy with Sensitivity Sampling

no code implementations ICML 2017 Benjamin I. P. Rubinstein, Francesco Aldà

Popular approaches to differential privacy, such as the Laplace and exponential mechanisms, calibrate randomised smoothing through global sensitivity of the target non-private function.

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