whitzard-ai / jade-dbLinks
"他山之石、可以攻玉":复旦白泽智能发布面向国内开源和国外商用大模型的Demo数据集JADE-DB
☆468Updated last week
Alternatives and similar repositories for jade-db
Users that are interested in jade-db are comparing it to the libraries listed below
Sorting:
- Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts,用于评估和提升大模型的安全性。☆1,089Updated last year
- SC-Safety: 中文大模型多轮对抗安全基准☆146Updated last year
- JailBench:大型语言模型越狱攻击风险评测中文数据 集 [PAKDD 2025]☆135Updated 7 months ago
- ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]☆214Updated last year
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆260Updated 3 months ago
- 复旦白泽大模型安全基准测试集(2024年夏季版)☆48Updated last year
- 面向中文大模型价值观的评估与对齐研究☆542Updated 2 years ago
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆99Updated 2 weeks ago
- Official repo for GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts☆533Updated last year
- AutoAudit—— the LLM for Cyber Security 网络安全大语言模型☆352Updated 8 months ago
- This project aims to consolidate and share high-quality resources and tools across the cybersecurity domain.☆266Updated 2 weeks ago
- An easy-to-use Python framework to generate adversarial jailbreak prompts.☆742Updated 7 months ago
- Hide and Seek (HaS): A Framework for Prompt Privacy Protection☆48Updated 2 years ago
- A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide…☆1,658Updated last week
- ☆136Updated 8 months ago
- 塑造未来的安全领域智能革命☆626Updated 9 months ago
- Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.☆60Updated last year
- CCAC2024——大模型安全的双重防线:少样本文本内容安全挑战赛仓库☆28Updated last year
- The official repository of the paper: COLD: A Benchmark for Chinese Offensive Language Detection☆293Updated 2 years ago
- [USENIX Security'24] Official repository of "Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise a…☆109Updated last year
- 针对大语言模型的对抗性攻击总结☆37Updated last year
- ☆26Updated last year
- ☆12Updated last year
- ☆160Updated 9 months ago
- Safety at Scale: A Comprehensive Survey of Large Model Safety☆200Updated 8 months ago
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆106Updated last year
- 本文提出了一个基于“文心一言”的中国LLMs的安全评估基准,其中包括8种典型的安全场景和6种指令攻击类型。此外,本文还提出了安全评估的框架和过程,利用手动编写和收集开源数据的测试Prompts,以及人工干预结合利用LLM强大的评估能力作为“共同评估者”。☆31Updated 2 years ago
- ☆163Updated last year
- SecProbe:任务驱动式大模型安全能力评测系统☆14Updated 11 months ago
- Awesome LLM Benchmarks to evaluate the LLMs across text, code, image, audio, video and more.☆151Updated last year