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01/20/2023
On the Relationship Between Information-Theoretic Privacy Metrics And Probabilistic Information Privacy
Information-theoretic (IT) measures based on f-divergences have recently...
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04/05/2022
Practical Bounds of Kullback-Leibler Divergence Using Maximum Mean Discrepancy
Estimating Kullback Leibler (KL) divergence from data samples is a stren...
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10/10/2020
Data-driven Regularized Inference Privacy
Data is used widely by service providers as input to inference systems t...
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01/16/2020
Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation
Each agent in a network makes a local observation that is linearly relat...
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12/09/2018