4 papers
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…
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,…
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…
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…