activity
20192026
most citedEvaluating Privacy Questions From Stack Overflow: Can ChatGPT Compete?

12 citations · 39 across the 9 of their papers we have counts for

collaborators

10 papers

cs.SE2026

Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models

Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti +1

Privacy captions are short sentences that succinctly describe what personal information is used, how it is used, and why, within an app. These captions can be utilized in various n…

cs.SE2025

Which Code Statements Implement Privacy Behaviors in Android Applications?

Chia-Yi Su, Aakash Bansal, Vijayanta Jain +3

A "privacy behavior" in software is an action where the software uses personal information for a service or a feature, such as a website using location to provide content relevant…

cs.SE2024★ 1 cited

Requirements Satisfiability with In-Context Learning

Sarah Santos, Travis Breaux, Thomas Norton +2

Language models that can learn a task at inference time, called in-context learning (ICL), show increasing promise in natural language inference tasks. In ICL, a model user constru…

cs.SE2024★ 8 cited

Evaluating Privacy Perceptions, Experience, and Behavior of Software Development Teams

Maxwell Prybylo, Sara Haghighi, Sai Teja Peddinti +1

With the increase in the number of privacy regulations, small development teams are forced to make privacy decisions on their own. In this paper, we conduct a mixed-method survey s…

cs.SE2023★ 12 cited

Evaluating Privacy Questions From Stack Overflow: Can ChatGPT Compete?

Zack Delile, Sean Radel, Joe Godinez +4

Stack Overflow and other similar forums are used commonly by developers to seek answers for their software development as well as privacy-related concerns. Recently, ChatGPT has be…

cs.SE2023

Towards Fine-Grained Localization of Privacy Behaviors

Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti +1

Mobile applications are required to give privacy notices to users when they collect or share personal information. Creating consistent and concise privacy notices can be a challeng…

cs.SE2023

A Language Model of Java Methods with Train/Test Deduplication

Chia-Yi Su, Aakash Bansal, Vijayanta Jain +2

This tool demonstration presents a research toolkit for a language model of Java source code. The target audience includes researchers studying problems at the granularity level of…

cs.SE2023★ 8 cited

PriGen: Towards Automated Translation of Android Applications' Code to Privacy Captions

Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati +1

Mobile applications are required to give privacy notices to the users when they collect or share personal information. Creating consistent and concise privacy notices can be a chal…

cs.SE2023★ 6 cited

Understanding Developers Privacy Concerns Through Reddit Thread Analysis

Jonathan Parsons, Michael Schrider, Oyebanjo Ogunlela +1

With the growing global emphasis on regulating the protection of personal information and increasing user expectation of the same, developing with privacy in mind is becoming ever…

cs.CR2019★ 4 cited

Automated Approach to Improve IoT Privacy Policies

Parvaneh Shayegh, Vijayanta Jain, Amin Rabinia +1

The massive growth of the Internet of Things (IoT) as a network of interconnected entities [18], brings up new challenges in terms of privacy and security requirements to the tradi…