A repository of LIVE malwares for your own joy and pleasure. theZoo is a project created to make the possibility of malware analysis open and available to the public.

周志华《机器学习》手推笔记

Reverse engineering framework in Python

应急相关内容积累

Attributing predictions made by the Inception network using the Integrated Gradients method

Tensorflow tutorial for various Deep Neural Network visualization techniques

Effects of packers on machine-learning-based malware classifiers that use only static analysis

Some results of my DGA reversing efforts

A fork of AFL for fuzzing Windows binaries

LAVA: Large-scale Automated Vulnerability Addition

自身学习的安全数据科学和算法的学习资料

PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion

This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adversarial sample crafting.

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

[Python 3] Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

Malware Analysis, Anti-Analysis, and Anti-Anti-Analysis

Malware Detection and Classification Using Machine Learning

Evaluation tools for malware Android