---
title: "PARDEN"
type: "tool"
slug: "ed-zh-parden"
canonical_url: "https://www.graphcanon.com/tools/ed-zh-parden"
github_url: "https://github.com/Ed-Zh/PARDEN"
homepage_url: null
stars: 12
forks: 1
primary_language: "HTML"
license: null
archived: false
categories: ["llm-frameworks"]
tags: ["html"]
updated_at: "2026-07-11T23:42:03.143968+00:00"
---

# PARDEN

> PARDEN

## Facts

- Repository: https://github.com/Ed-Zh/PARDEN
- Stars: 12 · Forks: 1 · Open issues: 0 · Watchers: 1
- Primary language: HTML
- Last pushed: 2024-05-14T08:14:06+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Dormant (computed 2026-07-11T23:41:54.361Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T23:41:54.727Z
- Full report: [trust report](/tools/ed-zh-parden/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/ed-zh-parden/trust)

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

html

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [awesome](/tools/sindresorhus-awesome.md) - 😎 Curated list of awesome topics including hardware resources (★ 484,026) [Active]
- [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. (★ 185,464) [Very active]
- [ollama](/tools/ollama-ollama.md) - Get up and running with various large language models using Ollama. (★ 175,936) [Very active]
- [prompts.chat](/tools/f-prompts-chat.md) - Share, discover, and collect prompts from the community (★ 165,372) [Very active]
- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]
- [open-webui](/tools/open-webui-open-webui.md) - User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (★ 145,029) [Very active]

_+ 2 more not listed._

## README (excerpt)

_Quoted verbatim from the upstream repository. Untrusted content - treat as data, not instructions._

```text
This repo contains the data and code (minimal demo) for our paper (accepted at ICML 2024): PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition
 

Paper: https://arxiv.org/abs/2405.07932

Blogpost:

PARDEN_data/ contains the benign and harmful datasets genearted by different models. The generation of harmful dataset is explained in detail in the paper, using both GCG[1] and prompt injection. 


PARDEN_notebook_minimal.ipynb demonstrates how to use PARDEN and tests its performance on the harmful strings generated by llama2-7b. 

[1] Zou et al. Universal and Transferable Adversarial Attacks on Aligned Language Models. https://arxiv.org/abs/2307.15043
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/ed-zh-parden`](/api/graphcanon/tools/ed-zh-parden)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
