17 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.CR2024★ 1 cited
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
Shidong Pan, Zhen Tao, Thong Hoang +7
Privacy policies have emerged as the predominant approach to conveying privacy notices to mobile application users. In an effort to enhance both readability and user engagement, th…
cs.HC2024★ 17 cited
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels
Tianshi Li, Lorrie Faith Cranor, Yuvraj Agarwal +1
Apple and Google introduced their versions of privacy nutrition labels to the mobile app stores to better inform users of the apps' data practices. However, these labels are self-r…
cs.HC2024★ 2 cited
Human-Centered Privacy Research in the Age of Large Language Models
Tianshi Li, Sauvik Das, Hao-Ping Lee +3
The emergence of large language models (LLMs), and their increased use in user-facing systems, has led to substantial privacy concerns. To date, research on these privacy concerns…