HKUST-KnowComp / LLM-Multistep-Jailbreak

Related projects ⓘ

Alternatives and complementary repositories for LLM-Multistep-Jailbreak

• renqibing / ActorAttack
  ☆54Updated 3 weeks ago
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆73Updated 2 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]
  ☆45Updated last month
• isXinLiu / MM-SafetyBench
  Accepted by ECCV 2024
  ☆74Updated last month
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆36Updated 4 months ago
• thu-coai / JailbreakDefense_GoalPriority
  [ACL 2024] Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
  ☆13Updated 4 months ago
• YihanWang617 / llm-jailbreaking-defense
  A lightweight library for large laguage model (LLM) jailbreaking defense.
  ☆39Updated last month
• ydyjya / LLM-IHS-Explanation
  ☆30Updated 5 months ago
• renqibing / CodeAttack
  [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
  ☆29Updated last month
• THU-KEG / WaterBench
  [ACL2024-Main] Data and Code for WaterBench: Towards Holistic Evaluation of LLM Watermarks
  ☆18Updated last year
• xirui-li / DrAttack
  Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
  ☆36Updated 2 months ago
• niconi19 / LLM-Conversation-Safety
  [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
  ☆77Updated 3 months ago
• YancyKahn / CoA
  Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM
  ☆21Updated 5 months ago
• swj0419 / muse_bench
  ☆16Updated 4 months ago
• AISG-Technology-Team / GCSS-Track-1A-Submission-Guide
  Submission Guide + Discussion Board for AI Singapore Global Challenge for Safe and Secure LLMs (Track 1A).
  ☆16Updated 4 months ago
• lapisrocks / rpo
  Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"
  ☆43Updated 3 months ago
• licong-lin / negative-preference-optimization
  ☆36Updated 4 months ago
• aounon / certified-llm-safety
  ☆26Updated 3 months ago
• GodXuxilie / PromptAttack
  An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)
  ☆56Updated 4 months ago
• OSU-NLP-Group / AmpleGCG
  AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM
  ☆46Updated 3 weeks ago
• SORRY-Bench / sorry-bench
  SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors
  ☆34Updated 4 months ago
• OpenSafetyLab / SALAD-BENCH
  【ACL 2024】 SALAD benchmark & MD-Judge
  ☆106Updated last month
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆19Updated last week
• thunlp / HiddenKiller
  Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"
  ☆37Updated 2 years ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆48Updated 3 months ago
• byerose / Awesome-Foundation-Model-Security
  A curated list of trustworthy Generative AI papers. Daily updating...
  ☆67Updated 2 months ago
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆81Updated this week
• IS2Lab / S-Eval
  S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models
  ☆42Updated 3 weeks ago
• RUCAIBox / HADES
  [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …
  ☆15Updated last month
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆27Updated 2 years ago