Alternatives and similar repositories for jade-db

Users that are interested in jade-db are comparing it to the libraries listed below

• thu-coai / Safety-Prompts
  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。
  ☆1,077Updated last year
• CLUEbenchmark / SuperCLUE-Safety
  SC-Safety: 中文大模型多轮对抗安全基准
  ☆144Updated last year
• STAIR-BUPT / JailBench
  JailBench：大型语言模型越狱攻击风险评测中文数据集 [PAKDD 2025]
  ☆126Updated 6 months ago
• thu-coai / SafetyBench
  Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]
  ☆250Updated last month
• thu-coai / ShieldLM
  ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]
  ☆210Updated 11 months ago
• X-PLUG / CValues
  面向中文大模型价值观的评估与对齐研究
  ☆536Updated 2 years ago
• WhitzardIndex / WhitzardBench-2024A
  复旦白泽大模型安全基准测试集（2024年夏季版）
  ☆45Updated last year
• sherdencooper / GPTFuzz
  Official repo for GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
  ☆530Updated 11 months ago
• liu673 / Awesome-LLM4Security
  This project aims to consolidate and share high-quality resources and tools across the cybersecurity domain.
  ☆251Updated 2 weeks ago
• ddzipp / AutoAudit
  AutoAudit—— the LLM for Cyber Security 网络安全大语言模型
  ☆346Updated 6 months ago
• thu-coai / COLDataset
  The official repository of the paper: COLD: A Benchmark for Chinese Offensive Language Detection
  ☆284Updated 2 years ago
• IS2Lab / S-Eval
  S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models
  ☆96Updated 2 months ago
• ydyjya / Awesome-LLM-Safety
  A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide…
  ☆1,599Updated this week
• PKU-YuanGroup / Reasoning-Attack
  ☆134Updated 6 months ago
• EasyJailbreak / EasyJailbreak
  An easy-to-use Python framework to generate adversarial jailbreak prompts.
  ☆715Updated 5 months ago
• AI45Lab / Flames
  Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.
  ☆61Updated last year
• rangwang / CCAC2024-FS_Moderation
  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
• Clouditera / Clouditera.github.io
  塑造未来的安全领域智能革命
  ☆629Updated 7 months ago
• sherdencooper / PromptFuzz
  ☆26Updated 10 months ago
• alohachen / Hide-and-Seek
  Hide and Seek (HaS): A Framework for Prompt Privacy Protection
  ☆46Updated 2 years ago
• wgwang / awesome-LLM-benchmarks
  Awesome LLM Benchmarks to evaluate the LLMs across text, code, image, audio, video and more.
  ☆148Updated last year
• LLM-DRA / DRA
  [USENIX Security'24] Official repository of "Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise a…
  ☆105Updated 11 months ago
• THUDM / AlignBench
  大模型多维度中文对齐评测基准 (ACL 2024)
  ☆412Updated last year
• xinleihe / MGTBench
  ☆159Updated 7 months ago
• SecureNexusLab / LLMPromptAttackGuide
  ☆159Updated 11 months ago
• STAIR-BUPT / STAIR-LLMGuardrails
  ☆12Updated 11 months ago
• gitkolento / Adversarial-Attacks-on-LLMs
  针对大语言模型的对抗性攻击总结
  ☆35Updated last year
• OpenStellarTeam / ChineseSafetyQA
  ☆31Updated 8 months ago
• xingjunm / Awesome-Large-Model-Safety
  Safety at Scale: A Comprehensive Survey of Large Model Safety
  ☆191Updated 7 months ago
• niconi19 / LLM-Conversation-Safety
  [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
  ☆106Updated last year