sinanw / llm-security-prompt-injectionLinks
This project investigates the security of large language models by performing binary classification of a set of input prompts to discover malicious prompts. Several approaches have been analyzed using classical ML algorithms, a trained LLM model, and a fine-tuned LLM model.
☆55Updated 2 years ago
Alternatives and similar repositories for llm-security-prompt-injection
Users that are interested in llm-security-prompt-injection are comparing it to the libraries listed below
Sorting:
- ⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs☆432Updated last year
- This repository provides a benchmark for prompt injection attacks and defenses in LLMs☆361Updated last month
- The fastest Trust Layer for AI Agents☆144Updated 6 months ago
- LLM security and privacy☆52Updated last year
- PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to a…☆443Updated last year
- Papers about red teaming LLMs and Multimodal models.☆158Updated 6 months ago
- A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.☆412Updated 4 months ago
- A benchmark for prompt injection detection systems.☆153Updated last week
- A collection of awesome resources related AI security☆374Updated last week
- A collection of prompt injection mitigation techniques.☆25Updated 2 years ago
- A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.☆384Updated 3 weeks ago
- Make your GenAI Apps Safe & Secure Test & harden your system prompt☆600Updated 3 months ago
- This is a dataset intended to train a LLM model for a completely CVE focused input and output.☆65Updated 6 months ago
- A collection of agents that use Large Language Models (LLMs) to perform tasks common on our day to day jobs in cyber security.☆229Updated last year
- ☆108Updated 3 weeks ago
- 🤖🛡️🔍🔒🔑 Tiny package designed to support red teams and penetration testers in exploiting large language model AI solutions.☆27Updated last year
- A repository of Language Model Vulnerabilities and Exposures (LVEs).☆112Updated last year
- Dropbox LLM Security research code and results☆251Updated last year
- ATLAS tactics, techniques, and case studies data☆91Updated this week
- ☆55Updated 7 months ago
- Curated resources, research, and tools for securing AI systems☆270Updated last week
- Risks and targets for assessing LLMs & LLM vulnerabilities☆33Updated last year
- ☆180Updated last week
- ☆667Updated 5 months ago
- LMAP (large language model mapper) is like NMAP for LLM, is an LLM Vulnerability Scanner and Zero-day Vulnerability Fuzzer.☆28Updated last year
- OWASP Machine Learning Security Top 10 Project☆94Updated last week
- CyberGym is a large-scale, high-quality cybersecurity evaluation framework designed to rigorously assess the capabilities of AI agents on…☆101Updated 2 months ago
- 🧠 LLMFuzzer - Fuzzing Framework for Large Language Models 🧠 LLMFuzzer is the first open-source fuzzing framework specifically designed …☆332Updated last year
- TaskTracker is an approach to detecting task drift in Large Language Models (LLMs) by analysing their internal activations. It provides a…☆78Updated 3 months ago
- TAP: An automated jailbreaking method for black-box LLMs☆207Updated last year