Visual Computing and Biometric Security Lab (VCBSL)
The Visual Computing and Biometric Security Lab is a research group comprising undergraduates, Masters, and Ph.D. students directed by Dr. Ajita Rattani.
The lab's mission is to conduct cutting-edge research in advanced techniques concerning Visual Computing and Biometric Security.
Visual Computing is a broad term that encompasses several areas in computer science including computer vision image and video processing, machine learning,
deep learning, and pattern recognition. Biometrics is the art of recognizing individuals based on their physiological or behavioral characteristics.
Current research activities of the research group include studying the Bias and Fairness of AI systems, Deepfake Detection, Models for On-device AI, Wearable Biometrics,
Harnessing Unlabeled Data for Domain Adaptation, Computer Vision for Natural Disaster Assessment, and AI for Healthcare and Obesity Prediction.
News
- 08/12/2025 We are honored to have received a $50,000 NSF Award for the project : "Translation Potential of Contactless Biometric System for Secure Recognition."
- 08/12/2025 Our paper titled "WaveVerify: A Novel Audio Watermarking Framework for Media Authentication and Combatting Deepfakes" is accepted at IEEE International Joint Conference on Biometrics, 2025" (pdf).
- 08/12/2025 Our paper titled "DOOMGAN:High-Fidelity Dynamic Identity Obfuscation Ocular Generative Morphing" is accepted at IEEE International Joint Conference on Biometrics, 2025" (pdf).
- 08/12/2025 Our paper titled "Analyzing and Mitigating Bias of Facial Attribute Classifiers Using Chatgpt" is accepted at SSRN 5209219, 2025" (pdf).
- 05/07/2025 Our paper titled "ABRobOcular: Adversarial benchmarking and robustness analysis of datasets and tools for ocular-based user recognition" is accepted at Neurocomputing, 2025" (pdf).
