Preventing Adversarial Use of Datasets through Fair Core-Set Construction

Benjamin Spector; Ravi Kumar; Andrew Tomkins

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arXiv · 1910.10871

Preventing Adversarial Use of Datasets through Fair Core-Set Construction

Benjamin Spector·Ravi Kumar·Andrew Tomkins

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Abstract

We propose improving the privacy properties of a dataset by publishing only a strategically chosen "core-set" of the data containing a subset of the instances. The core-set allows strong performance on primary tasks, but forces poor performance on unwanted tasks. We give methods for both linear models and neural networks and demonstrate their efficacy on data.

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Benjamin Spector, Ravi Kumar, Andrew Tomkins. 2019-10-24. Preventing Adversarial Use of Datasets through Fair Core-Set Construction. https://arxiv.org/abs/1910.10871

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