SafeAILab / RAINLinks
[ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
☆99Updated last year
Alternatives and similar repositories for RAIN
Users that are interested in RAIN are comparing it to the libraries listed below
Sorting:
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆116Updated 8 months ago
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆99Updated 6 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆89Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated 10 months ago
- ☆41Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆86Updated 7 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆62Updated last year
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆163Updated 6 months ago
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆89Updated 6 months ago
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆32Updated last year
- ☆47Updated 9 months ago
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆170Updated last year
- ☆188Updated last year
- ☆68Updated last year
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆68Updated 8 months ago
- ☆59Updated 2 years ago
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆149Updated last year
- LLM Unlearning☆177Updated 2 years ago
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆84Updated last year
- ☆33Updated last year
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆59Updated 2 months ago
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆59Updated last year
- ☆41Updated 2 years ago
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆54Updated last month
- 【ACL 2024】 SALAD benchmark & MD-Judge☆166Updated 8 months ago
- Code for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder" in NMI.☆53Updated 2 years ago
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆31Updated last year
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆89Updated last year
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆50Updated 5 months ago
- ☆30Updated last year