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Licenses: Creative Commons Attribution 4.0 Groups: Social Impact of AI and explainable ML

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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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      The resource: 'Appendices for the paper: ...' is not accessible as guest user. You must login to access it!