Exploring Use of Explanative Illustrations to Communicate Differential Privacy Models

Aiping Xiong; Chuhao Wu; Tianhao Wang; Robert W. Proctor; Jeremiah Blocki; Ninghui Li; Somesh Jha

doi:10.1177/21695067231195006

Exploring Use of Explanative Illustrations to Communicate Differential Privacy Models

Aiping Xiong, Chuhao Wu, Tianhao Wang, Robert W. Proctor, Jeremiah Blocki, Ninghui Li, Somesh Jha

College of Information Sciences and Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

Proper communication is key to the adoption and implementation of differential privacy (DP). In this work, we designed explanative illustrations of three DP models (Central DP, Local DP, Shuffler DP) to help laypeople conceptualize how random noise is added to protect individuals’ privacy and preserve group utility. Following a pilot survey and an interview, we conducted an online experiment (N = 300) exploring participants’ comprehension, privacy and utility perception, and data-sharing decisions across the three DP models. We obtained empirical evidence showing participants’ acceptance of the Shuffler DP model for data privacy protection. We discuss the implications of our findings.

Original language	English (US)
Pages (from-to)	226-232
Number of pages	7
Journal	Proceedings of the Human Factors and Ergonomics Society
Volume	67
Issue number	1
DOIs	https://doi.org/10.1177/21695067231195006
State	Published - 2023
Event	67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023 - Columbia, United States Duration: Oct 23 2023 → Oct 27 2023

All Science Journal Classification (ASJC) codes

Human Factors and Ergonomics

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10.1177/21695067231195006

Cite this

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title = "Exploring Use of Explanative Illustrations to Communicate Differential Privacy Models",

abstract = "Proper communication is key to the adoption and implementation of differential privacy (DP). In this work, we designed explanative illustrations of three DP models (Central DP, Local DP, Shuffler DP) to help laypeople conceptualize how random noise is added to protect individuals{\textquoteright} privacy and preserve group utility. Following a pilot survey and an interview, we conducted an online experiment (N = 300) exploring participants{\textquoteright} comprehension, privacy and utility perception, and data-sharing decisions across the three DP models. We obtained empirical evidence showing participants{\textquoteright} acceptance of the Shuffler DP model for data privacy protection. We discuss the implications of our findings.",

author = "Aiping Xiong and Chuhao Wu and Tianhao Wang and Proctor, {Robert W.} and Jeremiah Blocki and Ninghui Li and Somesh Jha",

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AU - Xiong, Aiping

AU - Wu, Chuhao

AU - Wang, Tianhao

AU - Proctor, Robert W.

AU - Blocki, Jeremiah

AU - Li, Ninghui

AU - Jha, Somesh

PY - 2023

Y1 - 2023

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AB - Proper communication is key to the adoption and implementation of differential privacy (DP). In this work, we designed explanative illustrations of three DP models (Central DP, Local DP, Shuffler DP) to help laypeople conceptualize how random noise is added to protect individuals’ privacy and preserve group utility. Following a pilot survey and an interview, we conducted an online experiment (N = 300) exploring participants’ comprehension, privacy and utility perception, and data-sharing decisions across the three DP models. We obtained empirical evidence showing participants’ acceptance of the Shuffler DP model for data privacy protection. We discuss the implications of our findings.

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Exploring Use of Explanative Illustrations to Communicate Differential Privacy Models

Abstract

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