defense

🔒 A curated checklist of 300+ tips for protecting digital security and privacy in 2021

A pytorch adversarial library for attack and defense methods on images and graphs

Windows Hardening settings and configurations

The OWASP Java Encoder is a Java 1.5+ simple-to-use drop-in high-performance encoder class with no dependencies and little baggage. This project will help Java web developers defend against Cross Site Scripting!

Cisco Config Analysis Tool

h2t (HTTP Hardening Tool) scans a website and suggests security headers to apply

A curated collection of adversarial attack and defense on graph data.

Adversarial attacks and defenses on Graph Neural Networks.

Function order shuffling to defend against ROP and other types of code reuse

A certifiable defense against adversarial examples by training neural networks to be provably robust

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Emulate and Dissect MSF and *other* attacks

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Invoke-HardeningKitty - Checks and hardens your Windows configuration

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

💀 A collection of methods to fool the deep neural network 💀

The ngx_dynamic_limit_req_module module is used to dynamically lock IP and release it periodically.

Feature Scattering Adversarial Training

An application to catch, search and analyze HTTP secure headers.

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Security purchases checker & validator for Android

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》

A defense tool - detect web shells in local directories via md5sum

This repository contains a collection of PowerShell tools that can be utilized to protect and defend an environment based on the recommendations of multiple cyber security researchers at Microsoft. These tools were created with a small to medium size enterprise environment in mind as smaller organizations do not always have the type of funding available to overly spend on security. The goal of this project is to help add value to an smaller organizations security by creating more visibility for the average IT Administrator. Organizations with 1,000’s of devices may find that this entire suite does not apply to them.

Collection of PowerShell functinos and scripts a Blue Teamer might use

Lightweight utility to fool port scanners

Defacement detection with deep learning

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.