SafeAILab / RAINLinks
[ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
☆98Updated last year
Alternatives and similar repositories for RAIN
Users that are interested in RAIN are comparing it to the libraries listed below
Sorting:
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆87Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆85Updated 6 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆116Updated 7 months ago
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆97Updated 4 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated 9 months ago
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆86Updated 5 months ago
- ☆184Updated 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
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆31Updated last year
- ☆41Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆60Updated last year
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆144Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆166Updated last year
- ☆46Updated 8 months ago
- ☆41Updated last year
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆154Updated 5 months ago
- NeurIPS'24 - LLM Safety Landscape☆30Updated 7 months ago
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆57Updated last month
- LLM Unlearning☆175Updated last year
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆62Updated 7 months ago
- ☆58Updated 2 years ago
- ☆63Updated last year
- [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"☆61Updated 4 months ago
- Codebase for decoding compressed trust.☆24Updated last year
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆83Updated 11 months ago
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆58Updated last year
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆89Updated last year
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆30Updated last year
- 【ACL 2024】 SALAD benchmark & MD-Judge☆161Updated 7 months ago
- Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"☆20Updated 3 weeks ago