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10/13/2022
Language Model Decoding as Likelihood-Utility Alignment
A critical component of a successful language generation pipeline is the...
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10/05/2022
Differentially Private Propensity Scores for Bias Correction
In surveys, it is typically up to the individuals to decide if they want...
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09/27/2022
On the Choice of Databases in Differential Privacy Composition
Differential privacy (DP) is a widely applied paradigm for releasing dat...
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09/18/2022
Distribution inference risks: Identifying and mitigating sources of leakage
A large body of work shows that machine learning (ML) models can leak se...
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05/06/2022
Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds
Differential privacy (DP) is a widely used notion for reasoning about pr...
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07/08/2019
Privacy-Preserving Classification with Secret Vector Machines
Today, large amounts of valuable data are distributed among millions of ...
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06/27/2019
