declare-lab / red-instructLinks
Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
☆102Updated 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:
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆85Updated last year
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆135Updated 11 months ago
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆29Updated 10 months ago
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆92Updated last month
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆101Updated 4 months ago
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆76Updated 2 months ago
- ☆175Updated last year
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆52Updated 2 years ago
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆77Updated last year
- 【ACL 2024】 SALAD benchmark & MD-Judge☆154Updated 4 months ago
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆148Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆157Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆94Updated last year
- LLM Unlearning☆171Updated last year
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆90Updated last year
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆77Updated last year
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆104Updated 11 months ago
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆92Updated 5 months ago
- ☆26Updated 9 months ago
- AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM☆68Updated 8 months ago
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆52Updated 8 months ago
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆56Updated 4 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…☆307Updated last year
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆29Updated 8 months ago
- [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability☆157Updated 6 months ago
- WMDP is a LLM proxy benchmark for hazardous knowledge in bio, cyber, and chemical security. We also release code for RMU, an unlearning m…☆128Updated last month
- ☆92Updated 2 months ago
- Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs☆84Updated 7 months ago
- ☆45Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆62Updated 6 months ago