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caad-2018-kunlin

This project proposed a method to defense against adversarial attack. By combining the proposed preprocessing method with an adversarially trained model, it ranked No.5 in the CAAD2018 defense sub-competition(https://en.caad.geekpwn.org/competition/list.html?menuId=10)

kkndme_tianya

天涯 kkndme 神贴聊房价

kunlin.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

kunlin_cv

speech-denoise-with-feature-loss

本项目使用中文人声的数据集，在Speech Denoising with Deep Feature Losses网络的基础上fine-tune，得到对中文音频有更好去噪效果的结果