LLM-Tuning-Safety / LLMs-Finetuning-SafetyLinks
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 via OpenAI’s APIs.
☆330Updated last year
Alternatives and similar repositories for LLMs-Finetuning-Safety
Users that are interested in LLMs-Finetuning-Safety are comparing it to the libraries listed below
Sorting:
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆146Updated last year
- ☆188Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆169Updated last year
- [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability☆169Updated 10 months ago
- [ICLR 2024] The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language M…☆394Updated 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
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆88Updated last year
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]☆456Updated 7 months ago
- A Comprehensive Assessment of Trustworthiness in GPT Models☆305Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆99Updated 5 months ago
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆107Updated last year
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆88Updated 6 months ago
- Improving Alignment and Robustness with Circuit Breakers☆240Updated last year
- The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Lang…☆145Updated 2 months ago
- Awesome LLM Jailbreak academic papers☆111Updated 2 years ago
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆105Updated 9 months ago
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆107Updated last year
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆93Updated last year
- LLM Unlearning☆177Updated 2 years ago
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆61Updated 2 years ago
- ☆111Updated 9 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆99Updated last year
- Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)☆153Updated 11 months ago
- TAP: An automated jailbreaking method for black-box LLMs☆194Updated 11 months ago
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆172Updated 7 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…☆153Updated 5 months ago
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆59Updated 2 months ago
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆32Updated last year
- ☆111Updated 2 years ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆163Updated 6 months ago