6 papers
Unit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data
Md Khalid Syfullah, Alvi Ataur Khalil
Clinical registries and wearable sensors support early health-risk assessment, yet models trained on these records may leak sensitive information when released. Differential privac…
Can Quantum Layers offer Performance and Security Advantages in Vision-Language Models?
Md Khalid Syfullah, Alvi Ataur Khalil
As quantum computing moves from the noisy intermediate-scale quantum (NISQ) era toward early fault-tolerant quantum computing (EFTQC), quantum-enhanced AI is shifting from a concep…
LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys
Md Khalid Syfullah, Alvi Ataur Khalil
Rising societal and lifestyle complexity has been linked to a growing prevalence of mental distress worldwide. Educational institutions, workplaces, clinics, etc. collect large vol…
Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models
Md Khalid Syfullah, Alvi Ataur Khalil
Visual Question Answering (VQA) with Vision-Language Models (VLMs) is increasingly used in privacy-sensitive and bandwidth-constrained settings. Federated Learning (FL), Split Lear…
USPLIT-VQA: U-Shaped Split Learning for Visual Question Answering with Contribution-Aware Weighted Aggregation
Md Khalid Syfullah, Alvi Ataur Khalil
Visual Question Answering (VQA) systems, jointly interpreting images and natural language queries, hold significant promise across many domains, yet the privacy-sensitive nature of…
BanClickThumb: A Multimodal Dataset and Transformer Fusion Benchmarks for Clickbait Detection in Bengali YouTube Videos
Md. Ariful Islam, Md Tanvirul Islam, Md. Maruf Hossain Miru +1
Clickbait, where video titles and thumbnails exaggerate or misrepresent content, reduces user trust, wastes attention, and promotes misinformation on video-sharing platforms. Detec…