15 papers
Beyond ROC-AUC: Operating-Point Performance Reporting for Biometric Verification
Ajan Ahmed, Masudul H. Imtiaz
A biometric verifier is often deployed with a strict false match budget, so only a narrow, low false match rate (FMR) slice of the score range is used. A reporting standard for thi…
Classical Machine Learning Baselines for Deepfake Audio Detection on the Fake-or-Real Dataset
Faheem Ahmad, Ajan Ahmed, Masudul Imtiaz
Deep learning has enabled highly realistic synthetic speech, raising concerns about fraud, impersonation, and disinformation. Despite rapid progress in neural detectors, transparen…
Smartphone-based iris recognition through high-quality visible-spectrum iris image capture.V2
Naveenkumar G Venkataswamy, Yu Liu, Soumyabrata Dey +2
Smartphone-based iris recognition in the visible spectrum (VIS) remains difficult due to illumination variability, pigmentation differences, and the absence of standardized capture…
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments
Md Jahangir Alam Khondkar, Ajan Ahmed, Stephanie Schuckers +1
Speech enhancement, particularly denoising, is vital in improving the intelligibility and quality of speech signals for real-world applications, especially in noisy environments. W…
DeepFake Detection in Dyadic Video Calls using Point of Gaze Tracking
Odin Kohler, Rahul Vijaykumar, Masudul H. Imtiaz
With recent advancements in deepfake technology, it is now possible to generate convincing deepfakes in real-time. Unfortunately, malicious actors have started to use this new tech…
An Open-Source Framework for Quality-Assured Smartphone-Based Visible Light Iris Recognition
Naveenkumar G. Venkataswamy, Yu Liu, Soumyabrata Dey +2
Smartphone-based iris recognition in the visible spectrum (VIS) offers a low-cost and accessible biometric alternative but remains a challenge due to lighting variability, pigmenta…