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most citedInfant-Prints: Fingerprints for Reducing Infant Mortality

12 citations · 31 across the 6 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV201912 cited

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-…

cs.LG2019

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…

cs.CV2019

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-…

cs.CV201912 cited

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…

cs.CV2019

Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features

Debayan Deb, Arun Ross, Anil K. Jain +2

Prevailing user authentication schemes on smartphones rely on explicit user interaction, where a user types in a passcode or presents a biometric cue such as face, fingerprint, or…