AISG-Technology-Team / GCSS-Track-1A-Submission-Guide

Related projects: ⓘ

• isXinLiu / MM-SafetyBench
  Accepted by ECCV 2024
  ☆59Updated 2 months ago
• OPTML-Group / SOUL
  Official repo for paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"
  ☆13Updated 4 months ago
• EddyLuo1232 / JailBreakV_28K
  JailBreakV-28K: A comprehensive benchmark designed to evaluate the transferability of LLM jailbreak attacks to MLLMs, and further assess …
  ☆29Updated 2 months ago
• sail-sg / AnyDoor
  AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models
  ☆39Updated 5 months ago
• UCSC-VLAA / vllm-safety-benchmark
  [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"
  ☆61Updated 9 months ago
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆64Updated 2 weeks ago
• licong-lin / negative-preference-optimization
  ☆21Updated 2 months ago
• lapisrocks / rpo
  Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"
  ☆37Updated last month
• Haochen-Luo / CroPA
  ☆24Updated 3 months ago
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆32Updated 2 months ago
• yjw1029 / Self-Reminder-Data
  Data for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder"
  ☆17Updated 10 months ago
• YitingQu / unsafe-diffusion
  ☆22Updated 2 months ago
• thu-coai / JailbreakDefense_GoalPriority
  [ACL 2024] Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
  ☆11Updated 2 months ago
• YancyKahn / CoA
  Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM
  ☆13Updated 3 months ago
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆36Updated 3 weeks ago
• THU-KEG / WaterBench
  [ACL2024-Main] Data and Code for WaterBench: Towards Holistic Evaluation of LLM Watermarks
  ☆17Updated 10 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆79Updated 3 months ago
• isXinLiu / Awesome-MLLM-Safety
  Accepted by IJCAI-24 Survey Track
  ☆117Updated 3 weeks ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
  ☆50Updated 2 months ago
• jiaxiaojunQAQ / I-GCG
  Improved techniques for optimization-based jailbreaking on large language models
  ☆33Updated 3 months ago
• renqibing / CodeAttack
  [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
  ☆14Updated this week
• BeyonderXX / ShadowAlignment
  Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
  ☆22Updated 11 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆37Updated 10 months ago
• liudaizong / Awesome-LVLM-Attack
  😎 up-to-date & curated list of awesome Attacks on Large-Vision-Language-Models papers, methods & resources.
  ☆73Updated this week
• YihanWang617 / llm-jailbreaking-defense
  A lightweight library for large laguage model (LLM) jailbreaking defense.
  ☆26Updated last month
• chenchenygu / watermark-learnability
  ☆18Updated 3 months ago
• KID-22 / LLM-Unlearning-Paper-List
  ☆27Updated 3 months ago
• swj0419 / muse_bench
  ☆14Updated 2 months ago
• IS2Lab / S-Eval
  S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models
  ☆31Updated 2 months ago
• thu-coai / SafeUnlearning
  Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks
  ☆19Updated 2 months ago