activity
20182026
most citedFacial De-morphing: Extracting Component Faces from a Single Morph

1 citations · 1 across the 11 of their papers we have counts for

collaborators

14 papers

cs.CV2026

Ocular Verification for Virtual Reality

Husanpreet Singh, Robert Tran, Ayushree Kharel +1

Virtual reality (VR) headsets (e.g., Meta Quest, Apple Vision Pro) provide a seamless user experience due to their fast, frictionless interaction with the physical world in a simul…

cs.CV2024

Detecting Near-Duplicate Face Images

Sudipta Banerjee, Arun Ross

Near-duplicate images are often generated when applying repeated photometric and geometric transformations that produce imperceptible variants of the original image. Consequently,…

cs.CV2024

Mitigating the Impact of Attribute Editing on Face Recognition

Sudipta Banerjee, Sai Pranaswi Mullangi, Shruti Wagle +2

Through a large-scale study over diverse face images, we show that facial attribute editing using modern generative AI models can severely degrade automated face recognition system…

cs.CV2024

Alpha-wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems

Sudipta Banerjee, Anubhav Jain, Zehua Jiang +3

A dictionary attack in a biometric system entails the use of a small number of strategically generated images or templates to successfully match with a large number of identities,…

cs.CV2023

Identity-Preserving Aging of Face Images via Latent Diffusion Models

Sudipta Banerjee, Govind Mittal, Ameya Joshi +2

The performance of automated face recognition systems is inevitably impacted by the facial aging process. However, high quality datasets of individuals collected over several years…

cs.LG2023

Generating Adversarial Attacks in the Latent Space

Nitish Shukla, Sudipta Banerjee

Adversarial attacks in the input (pixel) space typically incorporate noise margins such as or -norm to produce imperceptibly perturbed data that confound deep lea…