activity
20182021
most citedUnified Detection of Digital and Physical Face Attacks

5 citations · 5 across the 1 of their papers we have counts for

collaborators

9 papers

cs.CV2021

Biometrics: Trust, but Verify

Anil K. Jain, Debayan Deb, Joshua J. Engelsma

Over the past two decades, biometric recognition has exploded into a plethora of different applications around the globe. This proliferation can be attributed to the high levels of…

cs.CV20215 cited

Unified Detection of Digital and Physical Face Attacks

Debayan Deb, Xiaoming Liu, Anil K. Jain

State-of-the-art defense mechanisms against face attacks achieve near perfect accuracies within one of three attack categories, namely adversarial, digital manipulation, or physica…

cs.CV2021

FedFace: Collaborative Learning of Face Recognition Model

Divyansh Aggarwal, Jiayu Zhou, Anil K. Jain

DNN-based face recognition models require large centrally aggregated face datasets for training. However, due to the growing data privacy concerns and legal restrictions, accessing…

cs.CV2019

Fingerprint Spoof Detection: Temporal Analysis of Image Sequence

Tarang Chugh, Anil K. Jain

We utilize the dynamics involved in the imaging of a fingerprint on a touch-based fingerprint reader, such as perspiration, changes in skin color (blanching), and skin distortion,…

cs.CV2019

Universal Material Translator: Towards Spoof Fingerprint Generalization

Rohit Gajawada, Additya Popli, Tarang Chugh +2

Spoof detectors are classifiers that are trained to distinguish spoof fingerprints from bonafide ones. However, state of the art spoof detectors do not generalize well on unseen sp…

cs.CV2019

Fingerprint Synthesis: Search with 100 Million Prints

Vishesh Mistry, Joshua J. Engelsma, Anil K. Jain

Evaluation of large-scale fingerprint search algorithms has been limited due to lack of publicly available datasets. To address this problem, we utilize a Generative Adversarial Ne…