2 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis
Ekta Gavas, Sudipta Banerjee, Chinmay Hegde +1
Multimodal LLMs (MLLMs) are capable of performing complex data analysis, visual question answering, generation, and reasoning tasks. However, their ability to analyze biometric dat…
DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation
Ekta Gavas, Sudipta Banerjee, Chinmay Hegde +1
Accurate age verification can protect underage users from unauthorized access to online platforms and e-commerce sites that provide age-restricted services. However, accurate age e…
FaceCloak: Learning to Protect Face Templates
Sudipta Banerjee, Anubhav Jain, Chinmay Hegde +1
Generative models can reconstruct face images from encoded representations (templates) bearing remarkable likeness to the original face, raising security and privacy concerns. We p…
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…
Robust Concept Erasure Using Task Vectors
Minh Pham, Kelly O. Marshall, Chinmay Hegde +1
With the rapid growth of text-to-image models, a variety of techniques have been suggested to prevent undesirable image generations. Yet, these methods often only protect against s…