12 citations · 24 across the 3 of their papers we have counts for
8 papers
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach
Debayan Deb, Anil K. Jain
State-of-the-art spoof detection methods tend to overfit to the spoof types seen during training and fail to generalize to unknown spoof types. Given that face anti-spoofing is inh…
Child Face Age-Progression via Deep Feature Aging
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose a featu…
Finding Missing Children: Aging Deep Face Features
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose an age-…
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu, Yao Ma, Haochen Liu +4
Deep neural networks (DNN) have achieved unprecedented success in numerous machine learning tasks in various domains. However, the existence of adversarial examples has raised conc…
AdvFaces: Adversarial Face Synthesis
Debayan Deb, Jianbang Zhang, Anil K. Jain
Face recognition systems have been shown to be vulnerable to adversarial examples resulting from adding small perturbations to probe images. Such adversarial images can lead state-…
Infant-Prints: Fingerprints for Reducing Infant Mortality
Joshua J. Engelsma, Debayan Deb, Anil K. Jain +2
In developing countries around the world, a multitude of infants continue to suffer and die from vaccine-preventable diseases, and malnutrition. Lamentably, the lack of any officia…