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Personality-based K...
Personality-based Knowledge Extraction for Privacy-preserving Data Analysis
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- Vu, Xuan-Son, 1988- (författare)
- Umeå universitet,Institutionen för datavetenskap,Database and Data Mining Group
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- Jiang, Lili (författare)
- Umeå universitet,Institutionen för datavetenskap,Database and Data Mining Group
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- Brändström, Anders (författare)
- Umeå universitet,Enheten för demografi och åldrandeforskning (CEDAR)
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- Elmroth, Erik (författare)
- Umeå universitet,Institutionen för datavetenskap
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(creator_code:org_t)
- 2017-12-04
- 2017
- Engelska.
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Ingår i: K-CAP 2017. - Austin, TX, USA : ACM Digital Library. - 9781450355537
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this paper, we present a differential privacy preserving approach, which extracts personality-based knowledge to serve privacy guarantee data analysis on personal sensitive data. Based on the approach, we further implement an end-to-end privacy guarantee system, KaPPA, to provide researchers iterative data analysis on sensitive data. The key challenge for differential privacy is determining a reasonable amount of privacy budget to balance privacy preserving and data utility. Most of the previous work applies unified privacy budget to all individual data, which leads to insufficient privacy protection for some individuals while over-protecting others. In KaPPA, the proposed personality-based privacy preserving approach automatically calculates privacy budget for each individual. Our experimental evaluations show a significant trade-off of sufficient privacy protection and data utility.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Nyckelord
- Differential Privacy
- Privacy-preserving Data Analysis
- Computer Science
- datalogi
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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