4 citations · 9 across the 7 of their papers we have counts for
7 papers
Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
Imdad Ullah, Najm Hassan, Tariq Ahamed Ahangar +3
User profiling is crucial in providing personalised services, as it relies on analysing user behaviour and preferences to deliver targeted services. This approach enhances user exp…
Towards Energy-Efficient and Low-Latency Voice-Controlled Smart Homes: A Proposal for Offline Speech Recognition and IoT Integration
Peng Huang, Imdad Ullah, Xiaotong Wei +3
The smart home systems, based on AI speech recognition and IoT technology, enable people to control devices through verbal commands and make people's lives more efficient. However,…
A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
Alexander Marrapese, Basem Suleiman, Imdad Ullah +1
Understanding the conversation abilities of Large Language Models (LLMs) can help lead to its more cautious and appropriate deployment. This is especially important for safety-crit…
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework
Imdad Ullah, Najm Hassan, Sukhpal Singh Gill +5
The generative Artificial Intelligence (AI) tools based on Large Language Models (LLMs) use billions of parameters to extensively analyse large datasets and extract critical privat…
Joint Optimization of Privacy and Cost of in-App Mobile User Profiling and Targeted Ads
Imdad Ullah, Adel Binbusayyis
Online mobile advertising ecosystems provide advertising and analytics services that collect, aggregate, process, and trade a rich amount of consumers' personal data and carry out…
Privacy in Targeted Advertising: A Survey
Imdad Ullah, Roksana Boreli, Salil S. Kanhere
Targeted advertising has transformed the marketing landscape for a wide variety of businesses, by creating new opportunities for advertisers to reach prospective customers by deliv…
Privacy-preserving targeted mobile advertising: A Blockchain-based framework for mobile ads
Imdad Ullah, Salil S. Kanhere, Roksana Boreli
The targeted advertising is based on preference profiles inferred via relationships among individuals, their monitored responses to previous advertising and temporal activity over…