20 citations · 60 across the 12 of their papers we have counts for
20 papers
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…
MUNCH: Modelling Unique 'N Controllable Heads
Debayan Deb, Suvidha Tripathi, Pranit Puri
The automated generation of 3D human heads has been an intriguing and challenging task for computer vision researchers. Prevailing methods synthesize realistic avatars but with lim…
AdvBiom: Adversarial Attacks on Biometric Matchers
Debayan Deb, Vishesh Mistry, Rahul Parthe
With the advent of deep learning models, face recognition systems have achieved impressive recognition rates. The workhorses behind this success are Convolutional Neural Networks (…
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations
Inci M. Baytas, Debayan Deb
Upon the discovery of adversarial attacks, robust models have become obligatory for deep learning-based systems. Adversarial training with first-order attacks has been one of the m…
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…
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…