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#

defense

Here are 290 public repositories matching this topic...

personal-security-checklist

🔒 A compiled checklist of 300+ tips for protecting digital security and privacy in 2024

  • UpdatedJun 28, 2025
  • TypeScript

Weighs the soul of incoming HTTP requests to stop AI crawlers

  • UpdatedFeb 19, 2026
  • Go
cap

The privacy-first, self-hosted CAPTCHA for the modern web.

  • UpdatedFeb 14, 2026
  • JavaScript

HardeningKitty - Checks and hardens your Windows configuration

  • UpdatedDec 23, 2024
  • PowerShell

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

  • UpdatedJun 26, 2025
  • Python

Production-ready detection & response queries for osquery

  • UpdatedAug 13, 2025
  • Makefile

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

  • UpdatedNov 7, 2023
  • Python

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!

  • UpdatedNov 17, 2025
  • Java

Cisco Config Analysis Tool

  • UpdatedApr 23, 2023
  • Python

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

  • UpdatedJan 7, 2026
  • Python
adversarial-explainable-ai

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

  • UpdatedMay 12, 2023
  • Python

[NeurIPS 2025] BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

  • UpdatedFeb 2, 2026
  • Python

NovaHypervisor is a defensive x64 Intel host based hypervisor. The goal of this project is to protect against kernel based attacks (either via Bring Your Own Vulnerable Driver (BYOVD) or other means) by safeguarding defense products (AntiVirus / Endpoint Protection) and kernel memory structures and preventing unauthorized access to kernel memory.

  • UpdatedFeb 19, 2026
  • C++

A survey on harmful fine-tuning attack for large language model

  • UpdatedJan 9, 2026

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

  • UpdatedJul 25, 2024
  • Python

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