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everange's Projects

adversarial-robustness-public icon adversarial-robustness-public

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

aletheia icon aletheia

Image steganalysis using state-of-the-art machine learning techniques

amdim-public icon amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

atda icon atda

Improving the Generalization of Adversarial Training with Domain Adaptation

awt icon awt

Code for our S&P'21 paper: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

bbm icon bbm

Non-Additive Cost Functions for JPEG Steganography Based on Block Boundary Maintenance

cceap icon cceap

The Covert Channel Educational Analysis Protocol (CCEAP) is a network protocol designed for teaching covert channels to professionals and students in higher education. It is also an easy-to-use covert channel traffic generator. The basis for CCEAP are so-called `hiding patterns'.

cihc-2019 icon cihc-2019

没有图像隐写检测代码 【针对nsF5 UERD J-UNIWARD 】(未完成)

coriverchen.github.io icon coriverchen.github.io

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

crs icon crs

Cover Reproducible Steganography

csprng icon csprng

Cryptographically secure pseudorandom number generators for PyTorch

da icon da

Unsupervised Domain Adaptation Papers and Code

data-science-competition icon data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等

deep_mahalanobis_detector icon deep_mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

deepsec icon deepsec

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

deepvecfont icon deepvecfont

[SIGGRAPH Asia 2021] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning

fast_adversarial icon fast_adversarial

Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

glow icon glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

go_with_the_flows icon go_with_the_flows

Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"

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