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Sae Furukawa

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#machine learning Preprint Sep 2026

The Privacy Fallacy of Crowdsourced Fine-Tuning: Extracting Proprietary Data via Topic-Based Poisoning

It is shown that seemingly benign crowdsourced contributions can amplify leakage of other records while remaining difficult to identify through data filtering, demonstrating that seemingly benign crowdsourced contributions can amplify leakage of other records while remaining difficult to identify through data filtering...

Sae Furukawa, Alina Oprea · 0 citations

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