The Inclusive Privacy Project

Towards effective privacy for all

Privacy or security mechanisms are usually designed with the generic population in mind. As such, they often fall short of supporting many under-studied or marginalized sub-populations, such as children, older adults, people with disabilities, activists, journalists, victims of crimes or domestic violence, and people from non-western or developing countries.

The goal of this project is to design effective privacy mechanisms for people with disabilities, focusing on visual impairments. More broadly, this project aims to pave the way towards "Inclusive Privacy," a vision of designing effective privacy mechanism for the widest range of people possible.


This project is funded by the National Science Foundation, "CAREER: Inclusive Privacy: Effective Privacy Management for People with Visual Impairments" (CNS-1652497). This project is also supported in part by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR Grant 90DP0061-01-00). The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the NSF, the NIDILRR or the US Government.

acknowledgments: NSF and the iSchool at University of Illinois


New Papers

Z. Zhou, T. Sharma, L. Emano, S. Das,Y. Wang. Iterative Design of An Accessible Crypto Wallet for Blind Users. SOUPS2023.

Z. Zhang, S. Kaushik, J. Seo, H. Yuan, S. Das, L. Findlater, D. Gurari, A. Stangl, Y. Wang. ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content. SOUPS2023.

S. Kaushik, N. Barbosa, Y. Yu, T. Sharma, Z. Kilhoffer, J. Seo, S. Das, Y. Wang. GuardLens: Supporting Safer Online Browsing for People with Visual Impairments. SOUPS2023.

T. Sharma, A. Stangl, L. Zhang, Y. Tseng, I. Xu, L. Findlater, D. Gurari, Y. Wang. Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind. CHI2023.

A. Stangl, E. Sadjo, P. Emami-Naeini, Y. Wang, D. Gurari, L. Findlater. Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind. W4A2023.

Y. Yu, S. Ashok, S. Kaushik, Y. Wang, G. Wang. Design and Evaluation of Inclusive Email Security Indicators for People with Visual Impairments. IEEE Security & Privacy (S&P 2023).

N. Barbosa, J. Hayes, S. Kaushik, Y. Wang. ``Every Website Is A Puzzle!'': Facilitating Access to Common Website Features for People with Visual Impairments. TACCESS.

WIPS workshop 2023

WIPS 2023

WIPS2023 workshop will be held in August, 2023.