UnifyID Labs

UnifyID Labs is the research-oriented arm of UnifyID, focusing on research collaborations in the areas of security, machine learning, biometrics, implicit authentication, and human behavior. We actively publish in some of the top conferences (ICML, CVPR, NIPS) and collaborate with a diverse group of researchers from both academia and industry.

Apply for Fellowship

AI Fellowship

The UnifyID AI Fellowship and Residency Program gives the opportunity for students and researchers to work alongside UnifyID engineers on important and relevant problems in security, machine learning, biometrics, implicit authentication, and human behavior. We seek to answer relevant, well-constructed, overarching research questions that have both an impact on our product as well as the field as well.

AI Fellowship Program For Students

  • A 12-week program involving a single project with well defined objectives
  • A fellow is paired with an in-house mentor
  • The deliverable is to publish an open-sourced project or a peer-reviewed publication

AI Residency Program for PhD Researchers, Post-Docs, and Faculty

  • A long-term project with a flexible set of goals agreed a priori
  • The program is geared towards exploring some of the pitfalls of the algorithm-shopping machine learning paradigm and creating solutions replete with elegance and intellectual rigor

Apply for Fellowship

Resources: Publications and Presentations

Vinay Prabhu, John Whaley

Research report

Aidan Clark, Vinay Prabhu and John Whaley

Research report

Vinay Prabhu, John Whaley

In Proceedings of the Deep Learning Security Workshop (DLSW-2017), Dec 15, 2017 – Singapore, Malaysia.

Vinay Prabhu, John Whaley

In Proceedings of the CVPR 2017 CV-COPS workshop, July 21, 2017- Honolulu, Hawaii.

Aidan Clark, Vinay Prabhu and John Whaley

In Proceedings of the ICML Workshop on TinyML: ML on a Test-time Budget for IoT, Mobiles, and Other Applications, August 10, 2017 – Sydney, Australia.

Nikhil Mehta, Vinay Prabhu and John Whaley

In Proceedings of the ICML Workshop on TinyML: ML on a Test-time Budget for IoT, Mobiles, and Other Applications,10th August, 2017 – Sydney, Australia.

Vinay Prabhu, John Whaley

In Proceedings of the CVPR 2017 CV-COPS workshop, July 21, 2017 – Honolulu, Hawaii.

Vinay Prabhu, Paulo Arantes, John Whaley

Poster, NVIDIA GPU Technology Conference (GTC-2017), May 8, 2017 – San Jose, California.

Vinay Prabhu, John Whaley

In Proceedings of the Tensor-Learn Workshop, NIPS’16, Dec 10, 2016 – Barcelona, Spain.

Schedule a Demo

Please provide your contact information

Download White Paper

Please provide your contact information

Country *
Use Case: *

Download Gartner Report

Please provide your contact information