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.
☆317Updated 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:
- ☆180Updated last year
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆142Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆159Updated last year
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]☆400Updated 4 months ago
- [ICLR 2024] The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language M…☆374Updated 7 months ago
- [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability☆165Updated 8 months ago
- A Comprehensive Assessment of Trustworthiness in GPT Models☆302Updated 11 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆110Updated 6 months ago
- Improving Alignment and Robustness with Circuit Breakers☆227Updated 11 months ago
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆85Updated 3 months ago
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆106Updated last year
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆167Updated 4 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…☆135Updated 2 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆87Updated last year
- Awesome LLM Jailbreak academic papers☆103Updated last year
- LLM Unlearning☆174Updated last year
- A fast + lightweight implementation of the GCG algorithm in PyTorch☆274Updated 3 months ago
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆54Updated 2 years ago