CLAS2024 / starter-kitLinks
☆40Updated last year
Alternatives and similar repositories for starter-kit
Users that are interested in starter-kit are comparing it to the libraries listed below
Sorting:
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆173Updated last year
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆90Updated last year
- AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM☆82Updated last year
- An unofficial implementation of AutoDAN attack on LLMs (arXiv:2310.15140)☆45Updated last year
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆60Updated last year
- ☆114Updated 2 years ago
- official implementation of [USENIX Sec'25] StruQ: Defending Against Prompt Injection with Structured Queries☆59Updated 2 months ago
- ☆51Updated last year
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆60Updated 4 months ago
- [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"☆65Updated 7 months ago
- ☆190Updated 2 years ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆166Updated 8 months ago
- Repo for the research paper "SecAlign: Defending Against Prompt Injection with Preference Optimization"☆79Updated 5 months ago
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆73Updated 10 months ago
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆152Updated last year
- ☆70Updated 11 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated last year
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆86Updated last year
- Code and data to go with the Zhu et al. paper "An Objective for Nuanced LLM Jailbreaks"☆36Updated last year
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆26Updated 10 months ago
- ☆37Updated last year
- Official github page for the paper "Evaluating Deep Unlearning in Large Language Model"☆14Updated 8 months ago
- Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers☆66Updated last year
- Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]☆105Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆122Updated 10 months ago
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆32Updated last year
- Improving Alignment and Robustness with Circuit Breakers☆254Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆89Updated 9 months ago
- This is the code repository for "Uncovering Safety Risks of Large Language Models through Concept Activation Vector"☆47Updated 3 months ago
- ☆46Updated last year