Günther Eibl | DeepAI

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research

∙ 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...

0 Daniel Bernau, et al. ∙

research

∙ 02/18/2021

AggFT: Low-Cost Fault-Tolerant Smart Meter Aggregation with Proven Termination and Privacy

Smart meter data aggregation protocols have been developed to address ri...

0 Günther Eibl, et al. ∙

research

∙ 07/06/2018

The Influence of Differential Privacy on Short Term Electric Load Forecasting

There has been a large number of contributions on privacy-preserving sma...

0 Günther Eibl, et al. ∙