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Integrity report for Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2201.04569 · pith:2022:AIXXJ4KOQALAOWPIH7XRYQC2IU

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Paper page arXiv integrity.json bundle.json

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Signed record

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