Preventing Adversarial Use of Datasets through Fair Core-Set\n Construction Article Swipe

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Benjamin Spector , Ravi Kumar , Andrew Tomkins ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.48550/arxiv.1910.10871

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

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Core (optical fiber) Adversarial system Set (abstract data type) Computer science Data set Data mining Artificial intelligence Machine learning Telecommunications Programming language

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/1910.10871
PDF: https://arxiv.org/pdf/1910.10871
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4288089942

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OpenAlex ID: https://openalex.org/W4288089942

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DOI: https://doi.org/10.48550/arxiv.1910.10871

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Title: Preventing Adversarial Use of Datasets through Fair Core-Set\n Construction

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Type: preprint

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Language: en

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Publication year: 2019

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Publication date: 2019-10-23

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Authors: Benjamin Spector, Ravi Kumar, Andrew Tomkins

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Landing page: https://arxiv.org/abs/1910.10871

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PDF URL: https://arxiv.org/pdf/1910.10871

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Open access: Yes

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OA status: green

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OA URL: https://arxiv.org/pdf/1910.10871

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Concepts: Core (optical fiber), Adversarial system, Set (abstract data type), Computer science, Data set, Data mining, Artificial intelligence, Machine learning, Telecommunications, Programming language

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Cited by: 0

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Related works (count): 10

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