shreyansh26 / Red-Teaming-Language-Models-with-Language-ModelsLinks
A re-implementation of the "Red Teaming Language Models with Language Models" paper by Perez et al., 2022
☆33Updated last year
Alternatives and similar repositories for Red-Teaming-Language-Models-with-Language-Models
Users that are interested in Red-Teaming-Language-Models-with-Language-Models are comparing it to the libraries listed below
Sorting:
- [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability☆160Updated 7 months ago
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆78Updated last year
- ☆178Updated last year
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆64Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆160Updated last year
- WMDP is a LLM proxy benchmark for hazardous knowledge in bio, cyber, and chemical security. We also release code for RMU, an unlearning m…☆132Updated 2 months ago
- ☆31Updated 2 years ago
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆84Updated 3 months ago
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆140Updated last year
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆29Updated 8 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆85Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆64Updated 6 months ago
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆90Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆96Updated last year
- Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers☆56Updated 11 months ago
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆94Updated 6 months ago
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Updated last year
- [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"☆59Updated last month
- PAL: Proxy-Guided Black-Box Attack on Large Language Models☆53Updated 11 months ago
- ☆45Updated last year
- AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM☆69Updated 9 months ago
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆165Updated 4 months ago
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆79Updated last year
- [NeurIPS'24] RedCode: Risky Code Execution and Generation Benchmark for Code Agents☆45Updated 3 weeks ago
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆57Updated 5 months ago
- Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]☆84Updated 10 months ago
- Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.☆114Updated last year
- The official implementation of our pre-print paper "Automatic and Universal Prompt Injection Attacks against Large Language Models".☆51Updated 9 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆106Updated 5 months ago
- An unofficial implementation of AutoDAN attack on LLMs (arXiv:2310.15140)☆42Updated last year