18 citations · 80 across the 17 of their papers we have counts for
18 papers
Peer-Relative Trust-Guided Update Screening for Robust Semi-Decentralized Federated Learning under Label-Flipping Attacks
Ajay Kumar Shrestha, Sandhya Joshi
Trust and reputation mechanisms can reduce the influence of malicious clients in federated learning (FL), but strict update filtering is difficult under non-independent and identic…
Negotiating Privacy with Smart Voice Assistants: Risk-Benefit and Control-Acceptance Tensions
Molly Campbell, Mohamad Sheikho Al Jasem, Ajay Kumar Shrestha
Smart Voice assistants (SVAs) are widely adopted by youth, yet privacy decision-making in these environments is often characterized by competing considerations rather than clear-cu…
Privacy by Voice: Modeling Youth Privacy-Protective Behavior in Smart Voice Assistants
Molly Campbell, Ajay Kumar Shrestha
Smart Voice Assistants (SVAs) are deeply embedded in the lives of youth, yet the mechanisms driving the privacy-protective behaviors among young users remain poorly understood. Thi…
Gender-Based Heterogeneity in Youth Privacy-Protective Behavior for Smart Voice Assistants: Evidence from Multigroup PLS-SEM
Molly Campbell, Yulia Bobkova, Ajay Kumar Shrestha
This paper investigates how gender shapes privacy decision-making in youth smart voice assistant (SVA) ecosystems. Using survey data from 469 Canadian youths aged 16-24, we apply m…
Toward Youth-Centered Privacy-by-Design in Smart Devices: A Systematic Review
Molly Campbell, Mohamad Sheikho Al Jasem, Ajay Kumar Shrestha
This literature review evaluates privacy-by-design frameworks, tools, and policies intended to protect youth in AI-enabled smart devices using a PRISMA-guided workflow. Sources fro…
Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Home, Alexa, and Siri
Trevor De Clark, Yulia Bobkova, Ajay Kumar Shrestha
This paper investigates the privacy and usability of AI-enabled smart devices commonly used by youth, focusing on Google Home Mini, Amazon Alexa, and Apple Siri. While these device…
Convenience vs. Control: A Qualitative Study of Youth Privacy with Smart Voice Assistants
Molly Campbell, Trevor De Clark, Mohamad Sheikho Al Jasem +2
Smart voice assistants (SVAs) are embedded in the daily lives of youth, yet their privacy controls often remain opaque and difficult to manage. Through five semi-structured focus g…
From Framework to Practice: Youth Negotiations of Privacy with Smart Voice Assistants Through the PEA-AI Lens
Molly Campbell, Yulia Bobkova, Ajay Kumar Shrestha
Smart voice assistants (SVAs) have become embedded in the daily lives of youth, introducing complex privacy challenges due to always-on listening, shared device usage, and opaque d…
Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems
Ajay Kumar Shrestha
In federated learning (FL), decentralized model training allows multi-ple participants to collaboratively improve a shared machine learning model without exchanging raw data. Howev…
Covert Surveillance in Smart Devices: A SCOUR Framework Analysis of Youth Privacy Implications
Austin Shouli, Yulia Bobkova, Ajay Kumar Shrestha
This paper investigates how smart devices covertly capture private conversations and discusses in more in-depth the implications of this for youth privacy. Using a structured revie…
Privacy Ethics Alignment in AI: A Stakeholder-Centric Framework for Ethical AI
Ankur Barthwal, Molly Campbell, Ajay Kumar Shrestha
The increasing integration of artificial intelligence (AI) in digital ecosystems has reshaped privacy dynamics, particularly for young digital citizens navigating data-driven envir…
Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance
Austin Shouli, Ankur Barthwal, Molly Campbell +1
The rapid expansion of Artificial Intelligence (AI) in digital platforms used by youth has created significant challenges related to privacy, autonomy, and data protection. While A…
Investigation of the Privacy Concerns in AI Systems for Young Digital Citizens: A Comparative Stakeholder Analysis
Molly Campbell, Ankur Barthwal, Sandhya Joshi +2
The integration of Artificial Intelligence (AI) systems into technologies used by young digital citizens raises significant privacy concerns. This study investigates these concerns…
Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives
Ajay Kumar Shrestha, Sandhya Joshi
As Artificial Intelligence (AI) systems become increasingly integrated into various aspects of daily life, concerns about privacy and ethical accountability are gaining prominence.…
Exploring User Acceptance of Blockchain-Based Student Certificate Sharing System: A Study on Non Fungible Token (NFT) Utilization
Prakhyat Khati, Ajay Kumar Shrestha, Julita Vassileva
Blockchain technology has emerged as a transformative tool for data management in a variety of industries, including fintech, research and healthcare. We have developed a workable…
Navigating AI to Unpack Youth Privacy Concerns: An In-Depth Exploration and Systematic Review
Ajay Kumar Shrestha, Ankur Barthwal, Molly Campbell +4
This systematic literature review investigates perceptions, concerns, and expectations of young digital citizens regarding privacy in artificial intelligence (AI) systems, focusing…
Student Certificate Sharing System Using Blockchain and NFTs
Prakhyat Khati, Ajay Kumar Shrestha, Julita Vassileva
In this paper, we propose a certificate sharing system based on blockchain that gives students authority and control over their academic certificates. Our strategy involves develop…
Enhancing Scalability and Reliability in Semi-Decentralized Federated Learning With Blockchain: Trust Penalization and Asynchronous Functionality
Ajay Kumar Shrestha, Faijan Ahamad Khan, Mohammed Afaan Shaikh +2
The paper presents an innovative approach to address the challenges of scalability and reliability in Distributed Federated Learning by leveraging the integration of blockchain tec…