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Found 5 papers, 3 papers with code
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning
First, how can the low transferability between defenses be utilized in a game theoretic framework to improve the robustness?
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
By leveraging the output of multiple models, we are able to conduct model inversion attacks with 1/10th the training set size of Ahmad and Fuller (IJCB 2020) for iris data and 1/1000th the training set size of Mai et al. (Pattern Analysis and Machine Intelligence 2019) for facial data.
Resist : Reconstruction of irises from templates
That is, we show how to transform templates into realistic looking iris images that are also deemed as the same iris by the corresponding recognition system.
ThirdEye: Triplet Based Iris Recognition without Normalization
We observe equal error rates of 1. 32%, 9. 20%, and 0. 59% on the ND-0405, UbirisV2, and IITD datasets respectively.
Unconstrained Iris Segmentation using Convolutional Neural Networks
A small amount of retraining of the visible light model (using a few samples from a near-infrared dataset) yields a tuned network accurate in both settings.
