declare-lab / red-instructLinks
Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
☆103Updated last year
Alternatives and similar repositories for red-instruct
Users that are interested in red-instruct are comparing it to the libraries listed below
Sorting:
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆94Updated 2 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆85Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆106Updated 5 months ago
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆160Updated last year
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆140Updated last year
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆53Updated 2 years ago
- ☆178Updated last year
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆30Updated 11 months ago
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆79Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆96Updated last year
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆78Updated last year
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆151Updated last year
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆84Updated 3 months ago
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆54Updated 9 months ago
- ☆28Updated 10 months ago
- 【ACL 2024】 SALAD benchmark & MD-Judge☆156Updated 4 months ago
- AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM☆69Updated 9 months ago
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆57Updated 5 months ago
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆94Updated 6 months ago
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆106Updated last year
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆90Updated last year
- LLM Unlearning☆172Updated last year
- 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…☆314Updated last year
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆29Updated 8 months ago
- ☆99Updated 3 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆81Updated 4 months ago
- ☆45Updated last year
- ☆41Updated 10 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆64Updated 6 months ago
- Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT☆34Updated last year