AIM-Intelligence / Automated-Multi-Turn-JailbreaksLinks
☆82Updated 8 months ago
Alternatives and similar repositories for Automated-Multi-Turn-Jailbreaks
Users that are interested in Automated-Multi-Turn-Jailbreaks are comparing it to the libraries listed below
Sorting:
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆165Updated 4 months ago
- ☆70Updated last year
- Papers about red teaming LLMs and Multimodal models.☆131Updated 2 months ago
- TAP: An automated jailbreaking method for black-box LLMs☆180Updated 7 months ago
- [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability☆162Updated 7 months ago
- [NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"☆137Updated 3 months ago
- Implementation of BEAST adversarial attack for language models (ICML 2024)☆90Updated last year
- The official implementation of our pre-print paper "Automatic and Universal Prompt Injection Attacks against Large Language Models".☆51Updated 9 months ago
- Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)☆144Updated 8 months ago
- This repository provides a benchmark for prompt Injection attacks and defenses☆255Updated 3 weeks ago
- A prompt injection game to collect data for robust ML research☆62Updated 6 months ago
- ☆96Updated 3 months ago
- PAL: Proxy-Guided Black-Box Attack on Large Language Models☆53Updated 11 months ago
- ☆60Updated 7 months ago
- ☆588Updated last month
- LLM security and privacy☆49Updated 9 months ago
- Agent Security Bench (ASB)☆100Updated last month
- The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Lang…☆123Updated 6 months ago
- ☆81Updated last month
- ☆144Updated 11 months ago
- Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks [ICLR 2025]☆324Updated 6 months ago
- ☆46Updated 2 months ago
- A benchmark for evaluating the robustness of LLMs and defenses to indirect prompt injection attacks.☆73Updated last year
- ☆91Updated last year
- ☆51Updated 2 weeks ago
- ☆178Updated last year
- ☆45Updated last year
- Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers☆56Updated 11 months ago
- TaskTracker is an approach to detecting task drift in Large Language Models (LLMs) by analysing their internal activations. It provides a…☆62Updated 5 months ago
- A fast + lightweight implementation of the GCG algorithm in PyTorch☆267Updated 2 months ago