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
- 05/07/2025 Our paper titled "ABRobOcular: Adversarial benchmarking and robustness analysis of datasets and tools for ocular-based user recognition" is published in Neurocomputing, 2025" (pdf).
- 04/21/2025 Our paper titled "Analyzing and Mitigating Bias of Facial Attribute Classifiers Using Chatgpt" is published in SSRN 5209219, 2025" (pdf).
- 04/11/2025 Our paper titled "Re-identification and Automatic Update for Biometrics" is published in Encyclopedia of Cryptography, Security and Privacy, 2025" (pdf).
- 04/11/2025 Our paper titled "Spoofing and Antispoofing" is published in Encyclopedia of Cryptography, Security and Privacy, 2025" (pdf).
- 04/03/2025 Our paper titled "Leveraging diffusion and Flow Matching Models for demographic bias mitigation of facial attribute classifiers" is accepted at Neurocomputing, Volume 636, 2025, 130024,ISSN 0925-2312" (pdf).
- 01/02/2025 Our paper titled "Unified Face Matching and Physical-Digital Spoofing Attack Detection" is accepted at IEEE/CVF Winter Conference on Applications of Computer Vision Workshop (WACVW)" (pdf).
