coder's repositories
ACID
Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk/ppatras/pub/infocom21.pdf)
AI-for-Security-Learning
安全场景、基于AI的安全算法和安全数据分析业界实践
ARTIF
An advanced real time threat intelligence framework to identify threats and malicious web traffic on the basis of IP reputation and historical data.
auto_LiRPA
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
BruteShark
Network Analysis Tool
denoised-smoothing
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
df
The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper
geometric-certificates
Geometric Certifications of Neural Nets
gloro
Library for training globally-robust neural networks.
growtrees
Cost-Aware Robust Tree Ensembles for Security Applications (Usenix Security'21) https://arxiv.org/pdf/1912.01149.pdf
LogAnomaly
로그 이상치 탐지를 위한 Log Anomaly 모델 구현
magic-python
Python 黑魔法手册
momentumnet
Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities.
nfstream
NFStream: a Flexible Network Data Analysis Framework.
OmniAnomaly
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
PcapPlusPlus
PcapPlusPlus is a multiplatform C++ library for capturing, parsing and crafting of network packets. It is designed to be efficient, powerful and easy to use. It provides C++ wrappers for the most popular packet processing engines such as libpcap, WinPcap, DPDK and PF_RING.
robust-finetuning
Code relative to "Adversarial robustness against multiple $l_p$-threat models at the price of one and how to quickly fine-tune robust models to another threat model"
semantic-randomized-smoothing
Semantic Randomized Smoothing
SimulatorAttack
The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"
spatial-smoothing
Official PyTorch implementation of “Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
tree-ensemble-attack
[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"
umap
Uniform Manifold Approximation and Projection
VeriGauge
A united toolbox for running major robustness verification approaches for DNNs.