🧠 LLMFuzzer - Fuzzing Framework for Large Language Models 🧠 LLMFuzzer is the first open-source fuzzing framework specifically designed for Large Language Models (LLMs), especially for their integrations in applications via LLM APIs. 🚀💥
OllaDeck is a purple technology stack for Generative AI (text modality) cybersecurity. It provides a comprehensive set of tools for both blue team and red team operations in the context of text-based generative AI.
Securing LLM's Against Top 10 OWASP Large Language Model Vulnerabilities 2024
An intentionally vulnerable AI chatbot to learn and practice AI Security.
AiShields is an open-source Artificial Intelligence Data Input and Output Sanitizer
A series of serverless functions/resources (and Terraform) for consuming language model inputs and outputs to S3, enriching the data via sentiment analysis and topic modelling, loading to DynamoDB and subsequently monitoring for configurable deviation within the latent vector space.
LMTWT is AI security testing framework for evaluating LLM prompt injection vulnerabilities
Master's thesis repo focused on evaluating generational improvements on LLMs security.
LLMSecOps focuses on integrating security practices within the lifecycle of machine learning models. It ensures that models are robust against threats while maintaining compliance and performance standards.
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