Exploring the needs of users for supporting privacy-protective behaviors in smart homes
In this paper, we studied people's smart home privacy-protective behaviors (SH-PPBs), to
gain a better understanding of their privacy management do's and don'ts in this context. We …
gain a better understanding of their privacy management do's and don'ts in this context. We …
How usable are ios app privacy labels?
Standardized privacy labels that succinctly summarize those data practices that people are
most commonly concerned about offer the promise of providing users with more effective …
most commonly concerned about offer the promise of providing users with more effective …
Understanding privacy-related advice on stack overflow
Privacy tasks can be challenging for developers, resulting in privacy frameworks and
guidelines from the research community which are designed to assist developers in …
guidelines from the research community which are designed to assist developers in …
Context-aware code generation framework for code repositories: Local, global, and third-party library awareness
Code generation tools are essential to help developers in the software development
process. Existing tools often disconnect with the working context, ie, the code repository …
process. Existing tools often disconnect with the working context, ie, the code repository …
Understanding ios privacy nutrition labels: An exploratory large-scale analysis of app store data
Since December 2020, the Apple App Store has required all developers to create a privacy
label when submitting new apps or app updates. However, there has not been a …
label when submitting new apps or app updates. However, there has not been a …
Charting app developers' journey through privacy regulation features in ad networks
Mobile apps enable ad networks to collect and track users. App developers are given
“configurations” on these platforms to limit data collection and adhere to privacy regulations; …
“configurations” on these platforms to limit data collection and adhere to privacy regulations; …
The security & privacy acceptance framework (spaf)
How can we encourage end-user acceptance of expert recommended cybersecurity and
privacy (S&P) behaviors? We review prior art in human-centered S&P and identified three …
privacy (S&P) behaviors? We review prior art in human-centered S&P and identified three …
A3-CodGen : A Repository-Level Code Generation Framework for Code Reuse with Local-Aware, Global-Aware, and Third-Party-Library-Aware
LLM-based code generation tools are essential to help developers in the software
development process. Existing tools often disconnect with the working context, ie, the code …
development process. Existing tools often disconnect with the working context, ie, the code …
Understanding challenges for developers to create accurate privacy nutrition labels
Apple announced the introduction of app privacy details to their App Store in December
2020, marking the first ever real-world, large-scale deployment of the privacy nutrition label …
2020, marking the first ever real-world, large-scale deployment of the privacy nutrition label …
Data safety vs. app privacy: Comparing the usability of android and ios privacy labels
Privacy labels--standardized, compact representations of data collection and data use
practices--are often presented as a solution to the shortcomings of privacy policies. Apple …
practices--are often presented as a solution to the shortcomings of privacy policies. Apple …