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Zhaomang Sun's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

adv-eval-paper icon adv-eval-paper

LaTeX source for the paper "On Evaluating Adversarial Robustness"

advbox icon advbox

Advbox是支持多种深度学习平台的AI模型安全工具箱,既支持白盒和黑盒算法生成对抗样本,衡量AI模型鲁棒性,也支持常见的防御算法 ( Advbox is a toolbox to generate adversarial examples ,it can benchmark the robustness of machine learning models. It support TensorFlow,Caffe2 and multi-GPU , help more users generate more adversarial examples more faster.)

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

adversarial_spatial icon adversarial_spatial

Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.

advgan icon advgan

*From Adversarial Training to Generative Adversarial Networks*

advgan_pytorch icon advgan_pytorch

an Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).

affnet icon affnet

Code and weights for local feature affine shape estimation paper "Learning Discriminative Affine Regions via Discriminability"

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

ami icon ami

Attacks Meet Interpretability

attgan-pytorch icon attgan-pytorch

AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want

attgan-tensorflow icon attgan-tensorflow

AttGAN Tensorflow, AttGAN: Facial Attribute Editing by Only Changing What You Want

autozoom-attack icon autozoom-attack

Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks” ​​​​, published at AAAI 2019

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