OpenSafetyLab / SALAD-BENCHLinks
【ACL 2024】 SALAD benchmark & MD-Judge
☆171Updated 11 months ago
Alternatives and similar repositories for SALAD-BENCH
Users that are interested in SALAD-BENCH are comparing it to the libraries listed below
Sorting:
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆175Updated 2 years ago
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆151Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆106Updated 8 months ago
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆109Updated last year
- ☆56Updated last year
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)☆99Updated 3 weeks ago
- LLM Unlearning☆181Updated 2 years ago
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆34Updated last year
- ☆121Updated last year
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆108Updated 3 months ago
- ☆174Updated 3 months ago
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆61Updated 4 months ago
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆108Updated last year
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆97Updated last year
- ☆193Updated 2 years ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆127Updated 11 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆93Updated last year
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆111Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆89Updated 10 months ago
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆32Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆89Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆174Updated last year
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆172Updated 9 months ago
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆88Updated last year
- This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…☆240Updated 2 years ago
- ☆38Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆66Updated last year
- The reinforcement learning codes for dataset SPA-VL☆44Updated last year
- [ICLR'26, NAACL'25 Demo] Toolkit & Benchmark for evaluating the trustworthiness of generative foundation models.☆125Updated 5 months ago