Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension

31 March 2020

Papers citing "Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension"

28 / 28 papers shown

Title
Position: Certified Robustness Does Not (Yet) Imply Model Security Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein 13 0 0 16 Jun 2025
Empirical Privacy Variance Yuzheng Hu Fan Wu Ruicheng Xian Yuhang Liu Lydia Zakynthinou Pritish Kamath Chiyuan Zhang David A. Forsyth 149 0 0 16 Mar 2025
Investigating User Perspectives on Differentially Private Text Privatization Stephen Meisenbacher Alexandra Klymenko Alexander Karpp Florian Matthes 86 0 0 12 Mar 2025
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives Lucas Rosenblatt Bill Howe Julia Stoyanovich 110 0 0 17 Dec 2024
Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction Shuning Zhang Xin Yi Haobin Xing Lyumanshan Ye Yongquan Hu Hewu Li 75 2 0 19 Oct 2024
"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy Patrick Song Jayshree Sarathy Michael Shoemate Salil P. Vadhan 55 1 0 13 Oct 2024
What to Consider When Considering Differential Privacy for Policy Priyanka Nanayakkara Jessica Hullman 101 2 0 18 Sep 2024
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy Mary Anne Smart Priyanka Nanayakkara Rachel Cummings Gabriel Kaptchuk Elissa M. Redmiles 63 1 0 16 Aug 2024
The Role of Privacy Guarantees in Voluntary Donation of Private Health Data for Altruistic Goals Ruizhe Wang Roberta De Viti Aarushi Dubey Elissa M. Redmiles 67 1 0 03 Jul 2024
Centering Policy and Practice: Research Gaps around Usable Differential Privacy Rachel Cummings Jayshree Sarathy 94 7 0 17 Jun 2024
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering Huifa Li Jie Fu Zhili Chen Xiaomin Yang Haitao Liu Xinpeng Ling 51 1 0 06 Nov 2023
Within-Dataset Disclosure Risk for Differential Privacy Zhiru Zhu Raul Castro Fernandez 63 0 0 19 Oct 2023
Evaluating the Usability of Differential Privacy Tools with Data Practitioners Ivoline C. Ngong Brad Stenger Joseph P. Near Yuanyuan Feng 85 13 0 24 Sep 2023
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems? Christopher F. Weiss Frauke Kreuter Ivan Habernal 84 4 0 13 Jul 2023
Have it your way: Individualized Privacy Assignment for DP-SGD Franziska Boenisch Christopher Muhl Adam Dziedzic Roy Rinberg Nicolas Papernot 85 18 0 29 Mar 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy Priyanka Nanayakkara Mary Anne Smart Rachel Cummings Gabriel Kaptchuk Elissa M. Redmiles 99 34 0 01 Mar 2023
Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science Jayshree Sarathy Sophia Song Audrey Haque Tania Schlatter Salil P. Vadhan 79 24 0 23 Feb 2023
Comprehension from Chaos: Towards Informed Consent for Private Computation Bailey Kacsmar Vasisht Duddu Kyle Tilbury Blase Ur Florian Kerschbaum 70 4 0 13 Nov 2022
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats Daniel Franzen Saskia Nuñez von Voigt Peter Sorries Florian Tschorsch Claudia Muller-Birn 77 21 0 23 Aug 2022
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy Wenqiang Ruan Ming Xu Wenjing Fang Li Wang Lei Wang Wei Han 76 14 0 18 Aug 2022
New Differential Privacy Communication Pipeline and Design Framework Jinyuan Jia Z. Wen Zheli Liu Changyu Dong 62 0 0 04 Aug 2022
"Am I Private and If So, how Many?" -- Using Risk Communication Formats for Making Differential Privacy Understandable Daniel Franzen Saskia Nuñez von Voigt Peter Sorries Florian Tschorsch Claudia Muller-Birn Freie Universitat Berlin 97 9 0 08 Apr 2022
Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees Franziska Boenisch Christopher Muhl Roy Rinberg Jannis Ihrig Adam Dziedzic 68 18 0 21 Feb 2022
Using Illustrations to Communicate Differential Privacy Trust Models: An Investigation of Users' Comprehension, Perception, and Data Sharing Decision Aiping Xiong Chuhao Wu Tianhao Wang R. Proctor Jeremiah Blocki Ninghui Li S. Jha 57 13 0 21 Feb 2022
Local Differential Privacy for Belief Functions Qiyu Li Chunlai Zhou Biao Qin Zhiqiang Xu 49 3 0 17 Feb 2022
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases Priyanka Nanayakkara Johes Bater Xi He Jessica Hullman Jennie Duggan 81 50 0 16 Jan 2022
"I need a better description'': An Investigation Into User Expectations For Differential Privacy Rachel Cummings Gabriel Kaptchuk Elissa M. Redmiles 87 84 0 13 Oct 2021
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation Nitin Agrawal Reuben Binns Max Van Kleek Kim Laine N. Shadbolt 57 43 0 20 Jan 2021