User-Driven Synthetic Dataset Generation With Quantifiable Differential Privacy-Reference-Cited by-同舟云学术

User-Driven Synthetic Dataset Generation With Quantifiable Differential Privacy

Author:

Tai Bo-Chen¹^ORCID,Tsou Yao-Tung²^ORCID,Li Szu-Chuang³^ORCID,Huang Yennun¹^ORCID,Tsai Pei-Yuan⁴^ORCID,Tsai Yu-Cheng⁴^ORCID

Affiliation:

1. Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan

2. Department of Communications Engineering, Feng Chia University, Taichung, Taiwan

3. Department of International Business, National Taipei University of Business, Taipei, Taiwan

4. Digital Service Innovation Institute, Institute for Information Industry, Institute for Information Industry, Taipei, Taiwan

Funder

National Science and Technology Council, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

Reference35 articles.

3. Optimizing locally differentially private protocols;wang;Proc 26th USENIX Secur Symp,2017

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