Alternatives and similar repositories for Awesome-MLLM-Safety

Users that are interested in Awesome-MLLM-Safety are comparing it to the libraries listed below

• isXinLiu / MM-SafetyBench
  Accepted by ECCV 2024
  ☆149Updated 10 months ago
• thu-ml / MMTrustEval
  A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)
  ☆162Updated 2 months ago
• liudaizong / Awesome-LVLM-Attack
  😎 up-to-date & curated list of awesome Attacks on Large-Vision-Language-Models papers, methods & resources.
  ☆364Updated 2 weeks ago
• liuxuannan / Awesome-Multimodal-Jailbreak
  A Survey on Jailbreak Attacks and Defenses against Multimodal Generative Models
  ☆216Updated 2 weeks ago
• ThuCCSLab / FigStep
  [AAAI'25 (Oral)] Jailbreaking Large Vision-language Models via Typographic Visual Prompts
  ☆164Updated 2 months ago
• Unispac / Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
  Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models
  ☆233Updated last year
• wonderNefelibata / Awesome-LRM-Safety
  Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …
  ☆69Updated this week
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆74Updated 7 months ago
• thunxxx / MLLM-Jailbreak-evaluation-MMJ-Bench
  ☆58Updated 4 months ago
• yunqing-me / AttackVLM
  [NeurIPS-2023] Annual Conference on Neural Information Processing Systems
  ☆209Updated 8 months ago
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆205Updated this week
• erfanshayegani / Jailbreak-In-Pieces
  [ICLR 2024 Spotlight 🔥 ] - [ Best Paper Award SoCal NLP 2023 🏆] - Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal…
  ☆67Updated last year
• SaFoLab-WISC / JailBreakV_28K
  [COLM 2024] JailBreakV-28K: A comprehensive benchmark designed to evaluate the transferability of LLM jailbreak attacks to MLLMs, and fur…
  ☆73Updated 3 months ago
• AI45Lab / VLSBench
  [ACL 2025] Data and Code for Paper VLSBench: Unveiling Visual Leakage in Multimodal Safety
  ☆48Updated last month
• EchoseChen / SPA-VL-RLHF
  The reinforcement learning codes for dataset SPA-VL
  ☆36Updated last year
• WangCheng0116 / Awesome-LRMs-Safety
  Official repository for "Safety in Large Reasoning Models: A Survey" - Exploring safety risks, attacks, and defenses for Large Reasoning …
  ☆65Updated this week
• Haochen-Luo / CroPA
  ☆46Updated 8 months ago
• SaFoLab-WISC / AdaShield
  [ECCV 2024] The official code for "AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shi…
  ☆62Updated last year
• xingjunm / Awesome-Large-Model-Safety
  Safety at Scale: A Comprehensive Survey of Large Model Safety
  ☆184Updated 6 months ago
• ydyjya / LLM-IHS-Explanation
  ☆51Updated last year
• SproutNan / AI-Safety_SCAV
  This is the code repository for "Uncovering Safety Risks of Large Language Models through Concept Activation Vector"
  ☆43Updated 9 months ago
• TrustGen / TrustEval-toolkit
  Toolkit for evaluating the trustworthiness of generative foundation models.
  ☆112Updated last week
• AI45Lab / ActorAttack
  ☆100Updated 6 months ago
• abc03570128 / Jailbreaking-Attack-against-Multimodal-Large-Language-Model
  ☆47Updated last year
• niconi19 / LLM-Conversation-Safety
  [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
  ☆106Updated last year
• 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"
  ☆82Updated last year
• AI45Lab / MLLMGuard
  ☆37Updated 2 months ago
• NY1024 / Foundation-Model-Paper-Notes
  ☆59Updated 3 months ago
• thu-ml / STAIR
  Official codebase for "STAIR: Improving Safety Alignment with Introspective Reasoning"
  ☆68Updated 6 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 last year