Repository navigation
aisecurity
- Website
- Wikipedia
CodeGate: Security, Workspaces and Multiplexing for AI Agentic Frameworks
ComPromptMized: Unleashing Zero-click Worms that Target GenAI-Powered Applications
CTF challenges designed and implemented in machine learning applications
An interactive CLI application for interacting with authenticated Jupyter instances.
A collection list for Large Language Model (LLM) Watermark
Powerful LLM Query Framework with YAML Prompt Templates. Made for Automation
🤯 AI Security EXPOSED! Live Demos Showing Hidden Risks of 🤖 Agentic AI Flows: 💉Prompt Injection, ☣️ Data Poisoning. Watch the recorded session:
Securing LLM's Against Top 10 OWASP Large Language Model Vulnerabilities 2024
This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms." ASSET achieves state-of-the-art reliability in detecting poisoned samples in end-to-end supervised learning/ self-supervised learning/ transfer learning.
[COLM 2025] JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model
It is a pure front-end tool for testing the security boundaries of large language models, helping researchers to find and fix potential security vulnerabilities and improve the security and reliability of AI systems.
This repository demonstrates a variety of **MCP Poisoning Attacks** affecting real-world AI agent workflows.
AI Red Team & Blue Team Tips & Tricks!
LLM Security Project with Llama Guard
This repo contains reference implementations, tutorials, samples, and documentation for working with Bosch AIShield
CyberBrain_Model is an advanced AI project designed for fine-tuning the model `DeepSeek-R1-Distill-Qwen-14B` specifically for cyber security tasks.
A Jailbroken GenAI Model Can Cause Real Harm: GenAI-powered Applications are Vulnerable to PromptWares
Zero Trust AI 360
An intentionally vulnerable AI chatbot to learn and practice AI Security.
This repository contains comprehensive documentation for implementing and optimizing the A-MEM (Associative Memory) system utilizing both vector and graph storage for dynamic memory organization.