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Types: Experiment Groups: Social Impact of AI and explainable ML sobigdata-it

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  • Experiment

    Code and data accompanying the paper: Quantifying Privacy Risks in Synthetic ...

    This repository contains the code and data for the paper “Quantifying Privacy Risks in Synthetic Data: A Study on Black-Box Membership Inference”. It enables full...
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  • Experiment

    Experimental results from the Empirical Investigation of the Completeness of ...

    This is the raw data from the empirical investigation of the paper “Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation”. This work aim of...
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    Experiment

    Private Optimizing Empty Container Repositioning and Fleet Deployment via Configurabl...

    We introduce a novel framework, Configurable SemiPOMDPs, to model this type of problems. Furthermore, we provide a two-stage learning algorithm, “Configure & Conquer”...
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