thu-coai / SafetyBenchLinks
Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]
☆263Updated 4 months ago
Alternatives and similar repositories for SafetyBench
Users that are interested in SafetyBench are comparing it to the libraries listed below
Sorting:
- ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]☆218Updated last year
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆105Updated 2 months ago
- Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.☆62Updated last year
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆107Updated last year
- SC-Safety: 中文大模型多轮对抗安全基准☆147Updated last year
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)☆93Updated 6 months ago
- 【ACL 2024】 SALAD benchmark & MD-Judge☆167Updated 9 months ago
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆170Updated 2 years ago
- "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☆479Updated 3 weeks ago
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs☆298Updated last year
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆95Updated last year
- ☆112Updated 10 months ago
- Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM☆39Updated 10 months ago
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆109Updated last year
- Official github repo for AutoDetect, an automated weakness detection framework for LLMs.☆44Updated last year
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆32Updated last year
- 面向中文大模型价值观的评估与对齐研究☆546Updated 2 years ago
- The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Lang…☆149Updated 3 months ago
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆107Updated 10 months ago
- ☆55Updated last year
- Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)☆155Updated last year
- ☆46Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆100Updated 6 months ago
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆409Updated 5 months ago
- ☆153Updated last year
- 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。☆1,111Updated last year
- LLM hallucination paper list☆327Updated last year
- [arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"☆165Updated last year
- ☆78Updated 4 months ago
- ☆35Updated last year