TAP: An automated jailbreaking method for black-box LLMs
☆221Dec 10, 2024Updated last year
Alternatives and similar repositories for TAP
Users that are interested in TAP are comparing it to the libraries listed below
Sorting:
- ☆698Jul 2, 2025Updated 7 months ago
- PAL: Proxy-Guided Black-Box Attack on Large Language Models☆57Aug 17, 2024Updated last year
- Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)☆163Nov 30, 2024Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆178May 6, 2024Updated last year
- [ICLR 2024] The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language M…☆430Jan 22, 2025Updated last year
- Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks [ICLR 2025]☆377Jan 23, 2025Updated last year
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]☆531Apr 4, 2025Updated 10 months ago
- Official repo for GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts☆566Sep 24, 2024Updated last year
- An easy-to-use Python framework to generate adversarial jailbreak prompts.☆815Mar 27, 2025Updated 11 months ago
- Persuasive Jailbreaker: we can persuade LLMs to jailbreak them!☆350Oct 17, 2025Updated 4 months ago
- ☆23Jan 17, 2025Updated last year
- An unofficial implementation of AutoDAN attack on LLMs (arXiv:2310.15140)☆45Feb 8, 2024Updated 2 years ago
- [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability☆176Dec 18, 2024Updated last year
- A fast + lightweight implementation of the GCG algorithm in PyTorch☆318May 13, 2025Updated 9 months ago
- HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal☆858Aug 16, 2024Updated last year
- ☆28Mar 20, 2024Updated last year
- All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks☆18Apr 24, 2024Updated last year
- The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Lang…☆153Sep 2, 2025Updated 5 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Jan 11, 2025Updated last year
- Improving Alignment and Robustness with Circuit Breakers☆258Sep 24, 2024Updated last year
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆66Apr 24, 2024Updated last year
- [ICML 2025] An official source code for paper "FlipAttack: Jailbreak LLMs via Flipping".☆165May 2, 2025Updated 9 months ago
- AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM☆83Nov 3, 2024Updated last year
- The official implementation of our pre-print paper "Automatic and Universal Prompt Injection Attacks against Large Language Models".☆69Oct 23, 2024Updated last year
- [arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"☆173Feb 20, 2024Updated 2 years ago
- Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers☆66Aug 25, 2024Updated last year
- ☆195Nov 26, 2023Updated 2 years ago
- [ACL 2024] Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization☆29Jul 9, 2024Updated last year
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆187Apr 1, 2025Updated 10 months ago
- Red Queen Dataset and data generation template☆26Dec 26, 2025Updated 2 months ago
- This repository provides a benchmark for prompt injection attacks and defenses in LLMs☆395Oct 29, 2025Updated 4 months ago
- [AAAI'25 (Oral)] Jailbreaking Large Vision-language Models via Typographic Visual Prompts☆191Jun 26, 2025Updated 8 months ago
- Repo for the research paper "SecAlign: Defending Against Prompt Injection with Preference Optimization"☆86Jul 24, 2025Updated 7 months ago
- Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM☆39Jan 17, 2025Updated last year
- ☆121Feb 3, 2025Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆127Feb 24, 2025Updated last year
- Implementation of BEAST adversarial attack for language models (ICML 2024)☆90May 14, 2024Updated last year
- ☆18Mar 30, 2025Updated 11 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆93May 9, 2024Updated last year