8 papers
On Evaluating Quantum Kernel Robustness for Low-Resource Cross-Corpus Audio Deepfake Detection
Lisan Al Amin, Lei Zhang, Vandana P. Janeja
Synthetic speech detection is critical for audio security, but performance can degrade when labeled data are scarce and evaluation conditions differ from training. This study exami…
Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing
Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das +2
The exponential growth in data has intensified the demand for computational power to train large-scale deep learning models. However, the rapid growth in model size and complexity…
Hybrid Federated and Split Learning for Privacy Preserving Clinical Prediction and Treatment Optimization
Farzana Akter, Rakib Hossain, Deb Kanna Roy Toushi +3
Collaborative clinical decision support is often constrained by governance and privacy rules that prevent pooling patient-level records across institutions. We present a hybrid pri…
Ethical and Explainable AI in Reusable MLOps Pipelines
Rakib Hossain, Mahmood Menon Khan, Lisan Al Amin +3
This paper introduces a unified machine learning operations (MLOps) framework that brings ethical artificial intelligence principles into practical use by enforcing fairness, expla…
Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework
Md Muntasir Jahid Ayan, Md. Shahriar Rashid, Tazzina Afroze Hassan +6
The increasing complexity and frequency of cyber-threats demand intrusion detection systems (IDS) that are not only accurate but also interpretable. This paper presented a novel ID…
Reliable Audio Deepfake Detection in Variable Conditions via Quantum-Kernel SVMs
Lisan Al Amin, Vandana P. Janeja
Detecting synthetic speech is challenging when labeled data are scarce and recording conditions vary. Existing end-to-end deep models often overfit or fail to generalize, and while…
Bayesian Modeling for Uncertainty Management in Financial Risk Forecasting and Compliance
Sharif Al Mamun, Rakib Hossain, Md. Jobayer Rahman +3
A Bayesian analytics framework that precisely quantifies uncertainty offers a significant advance for financial risk management. We develop an integrated approach that consistently…
Uncovering Critical Features for Deepfake Detection through the Lottery Ticket Hypothesis
Lisan Al Amin, Md. Ismail Hossain, Thanh Thi Nguyen +3
Recent advances in deepfake technology have created increasingly convincing synthetic media that poses significant challenges to information integrity and social trust. While curre…