This python project is a sample of validation experiment for the conference paper, including the LLFFSD light field database we used, PDVN model building, model training and testing.

This project is built for our MIR paper "Towards Interpretable Defense against Adversarial Attacks via Causal Inference", implemented with Huawei's deep learning framework Mindspore.

Implementation of CVPRW 2022 paper using MindSpore Title: FedIris: Towards More Accurate and Privacy-preserving Iris Recognition via Federated Template Communication

This is the implementation of "Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors" (accepted by T-IFS) using MindSpore framework.