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greshake avatar

greshake/llm-security

0
View on GitHub↗
2,102 stars·152 forks·Jupyter Notebook·MIT·6 views

Llm Security

We present a new class of vulnerabilities and impacts stemming from "indirect prompt injection" affecting language models integrated with applications. Our demos currently span GPT-4 (Bing and synthetic apps) using ChatML, GPT-3 & LangChain based apps in addition to proof-of-concepts for attacks…

Features

  • AI Security - Research repository focused on indirect prompt injection.
  • Jailbreak Attack Methods - Compromising real-world applications via indirect prompt injection.

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Open-source alternatives to Llm Security

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  • agencyenterprise/promptinjectagencyenterprise avatar

    agencyenterprise/PromptInject

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    PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

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  • azure/pyritAzure avatar

    Azure/PyRIT

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    PyRIT is an AI vulnerability assessment tool and security scanner designed to detect risks in large language model applications. It functions as a generative AI red teaming framework used to simulate adversarial attacks and identify weaknesses in system guardrails. The tool automates AI risk assessment by scanning generative AI components for security vulnerabilities. It utilizes automated testing and analysis to identify security gaps and prevent potential exploits through a consistent, repeatable process. The system incorporates asynchronous model orchestration to compare security postures

    Pythonai-red-teamgenerative-aired-team-tools
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  • cam-fss/jailbreak-langchainCAM-FSS avatar

    CAM-FSS/jailbreak-langchain

    1View on GitHub↗

    In this paper, we conduct the first work to propose the concept of indirect jailbreak and achieve Retrieval-Augmented Generation (RAG) via LangChain. Building on this, we further design a novel method of indirect jailbreak attack, termed Poisoned-LangChain (PLC), which leverages a poisoned…

    View on GitHub↗1
  • aatrox103/sapAatrox103 avatar

    Aatrox103/SAP

    48View on GitHub↗

    This is the official repo of the paper "Attack Prompt Generation for Red Teaming and Defending Large Language Models" accepted to Findings of EMNLP 2023.

    Python
    View on GitHub↗48
See all 30 alternatives to Llm Security→

Frequently asked questions

What does greshake/llm-security do?

We present a new class of vulnerabilities and impacts stemming from "indirect prompt injection" affecting language models integrated with applications. Our demos currently span GPT-4 (Bing and synthetic apps) using ChatML, GPT-3 & LangChain based apps in addition to proof-of-concepts for attacks…

What are the main features of greshake/llm-security?

The main features of greshake/llm-security are: AI Security, Jailbreak Attack Methods.

What are some open-source alternatives to greshake/llm-security?

Open-source alternatives to greshake/llm-security include: agencyenterprise/promptinject — PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the… azure/pyrit — PyRIT is an AI vulnerability assessment tool and security scanner designed to detect risks in large language model… cam-fss/jailbreak-langchain — In this paper, we conduct the first work to propose the concept of indirect jailbreak and achieve Retrieval-Augmented… chawins/pal — Chawin Sitawarin 1   Norman Mu 1   David Wagner 1   Alexandre Araujo 2. cleverhans-lab/cleverhans — Cleverhans is an adversarial machine learning library and toolkit designed to generate adversarial examples,… aatrox103/sap — This is the official repo of the paper "Attack Prompt Generation for Red Teaming and Defending Large Language Models"…