DAMO-NLP-SG / multilingual-safety-for-LLMsLinks
[ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"
☆90Updated last year
Alternatives and similar repositories for multilingual-safety-for-LLMs
Users that are interested in multilingual-safety-for-LLMs are comparing it to the libraries listed below
Sorting:
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆87Updated last year
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆105Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆98Updated 5 months ago
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆30Updated last year
- Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT☆35Updated 2 years ago
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆146Updated last year
- ☆187Updated last year
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆87Updated 5 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆99Updated last year
- 【ACL 2024】 SALAD benchmark & MD-Judge☆163Updated 7 months ago
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆106Updated last year
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆58Updated last month
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆169Updated last year
- ☆46Updated last year
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆99Updated 2 weeks ago
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆102Updated 9 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆116Updated 8 months ago
- ☆108Updated 8 months ago
- ☆119Updated 5 months ago
- [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability☆166Updated 10 months ago
- We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20…☆328Updated last year
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆83Updated last year
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆163Updated 2 years ago
- ☆41Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated 9 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆83Updated last year
- AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM☆75Updated 11 months ago
- Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers☆64Updated last year
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆61Updated 2 years ago
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆30Updated 11 months ago