Alternatives and similar repositories for jailbreak-reasoning-openai-o1o3-deepseek-r1

Users that are interested in jailbreak-reasoning-openai-o1o3-deepseek-r1 are comparing it to the libraries listed below

• xirui-li / DrAttack
  Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
  ☆64Updated last year
• Allen-piexl / JailbreakZoo
  ☆153Updated last year
• CryptoAILab / JailbreakEval
  [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.
  ☆172Updated 7 months ago
• sail-sg / Agent-Smith
  [ICML 2024] Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
  ☆115Updated last year
• thu-coai / Agent-SafetyBench
  ☆69Updated 2 months ago
• AI-secure / AgentPoison
  [NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"
  ☆162Updated 6 months ago
• NJUNLP / ReNeLLM
  The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Lang…
  ☆141Updated 2 months ago
• akumar2709 / OVERTHINK_public
  ☆42Updated 6 months ago
• AI45Lab / ActorAttack
  ☆108Updated 8 months ago
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆87Updated 6 months ago
• ChenWu98 / agent-attack
  [ICLR 2025] Dissecting adversarial robustness of multimodal language model agents
  ☆110Updated 8 months ago
• usail-hkust / JailTrickBench
  Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)
  ☆152Updated 11 months ago
• Princeton-SysML / Jailbreak_LLM
  ☆187Updated last year
• SproutNan / AI-Safety_Benchmark
  The official repository for guided jailbreak benchmark
  ☆24Updated 3 months ago
• RobustNLP / DeRTa
  A novel approach to improve the safety of large language models, enabling them to transition effectively from unsafe to safe state.
  ☆69Updated 5 months ago
• Yu-Fangxu / COLD-Attack
  [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
  ☆166Updated 10 months ago
• Beijing-AISI / panda-guard
  Panda Guard is designed for researching jailbreak attacks, defenses, and evaluation algorithms for large language models (LLMs).
  ☆50Updated 2 weeks ago
• facebookresearch / SecAlign
  Repo for the research paper "SecAlign: Defending Against Prompt Injection with Preference Optimization"
  ☆72Updated 3 months ago
• thu-coai / SafeUnlearning
  Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks
  ☆32Updated last year
• uw-nsl / SafeDecoding
  Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
  ☆146Updated last year
• AI-secure / RedCode
  [NeurIPS'24] RedCode: Risky Code Execution and Generation Benchmark for Code Agents
  ☆52Updated 3 months ago
• GodXuxilie / PromptAttack
  An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)
  ☆105Updated 9 months ago
• lancopku / agent-backdoor-attacks
  Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]
  ☆94Updated last year
• tmlr-group / DeepInception
  [arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
  ☆164Updated last year
• agiresearch / ASB
  Agent Security Bench (ASB)
  ☆137Updated 3 weeks ago
• salman-lui / x-teaming
  ☆42Updated 5 months ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆65Updated 9 months ago
• chen37058 / Red-Team-Arxiv-Paper-Update
  Awesome Jailbreak, red teaming arxiv papers (Automatically Update Every 12th hours)
  ☆70Updated this week
• HKUST-KnowComp / LLM-Multistep-Jailbreak
  Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT
  ☆35Updated 2 years ago
• niconi19 / LLM-Conversation-Safety
  [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
  ☆106Updated last year