aounon / certified-llm-safetyLinks
☆45Updated last year
Alternatives and similar repositories for certified-llm-safety
Users that are interested in certified-llm-safety are comparing it to the libraries listed below
Sorting:
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆58Updated last year
- ☆111Updated last year
- Code and data to go with the Zhu et al. paper "An Objective for Nuanced LLM Jailbreaks"☆34Updated 10 months ago
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆62Updated 7 months ago
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆166Updated last year
- A toolkit to assess data privacy in LLMs (under development)☆62Updated 9 months ago
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆89Updated last year
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆61Updated last year
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆57Updated last month
- ☆23Updated 10 months ago
- Official Code for ACL 2024 paper "GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis"☆60Updated 11 months ago
- ☆39Updated 11 months ago
- ☆58Updated 2 years ago
- [ICLR 2025] On Evluating the Durability of Safegurads for Open-Weight LLMs☆13Updated 3 months ago
- official implementation of [USENIX Sec'25] StruQ: Defending Against Prompt Injection with Structured Queries☆46Updated 2 months ago
- Code and dataset for the paper: "Can Editing LLMs Inject Harm?"☆21Updated 11 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆85Updated 6 months ago
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆97Updated 4 months ago
- Fingerprint large language models☆41Updated last year
- ☆46Updated 8 months ago
- Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]☆91Updated last year
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆87Updated last year
- An unofficial implementation of AutoDAN attack on LLMs (arXiv:2310.15140)☆44Updated last year
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆155Updated 5 months ago
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆53Updated 2 weeks ago
- [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156☆39Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆116Updated 7 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆47Updated 11 months ago
- This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)☆23Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆99Updated last year