Alternatives and similar repositories for AnyDoor

Users that are interested in AnyDoor are comparing it to the libraries listed below

• umd-huang-lab / VLM-Poisoning
  Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"
  ☆55Updated 8 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"
  ☆83Updated last year
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆76Updated 8 months ago
• yunqing-me / AttackVLM
  [NeurIPS-2023] Annual Conference on Neural Information Processing Systems
  ☆213Updated 9 months ago
• Haochen-Luo / CroPA
  ☆50Updated 10 months ago
• thu-ml / Attack-Bard
  ☆101Updated last year
• NY1024 / BAP-Jailbreak-Vision-Language-Models-via-Bi-Modal-Adversarial-Prompt
  ☆52Updated last year
• thunxxx / MLLM-Jailbreak-evaluation-MMJ-Bench
  ☆63Updated 6 months ago
• erfanshayegani / Jailbreak-In-Pieces
  [ICLR 2024 Spotlight 🔥 ] - [ Best Paper Award SoCal NLP 2023 🏆] - Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal…
  ☆70Updated last year
• itsvaibhav01 / Immune
  [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
  ☆23Updated 3 months ago
• YitingQu / unsafe-diffusion
  ☆38Updated last year
• huanranchen / VLMTransfer
  A package that achieves 95%+ transfer attack success rate against GPT-4
  ☆23Updated 11 months ago
• thu-ml / MMTrustEval
  A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)
  ☆166Updated 3 months ago
• LiangSiyuan21 / BadCLIP
  ☆24Updated last year
• pipilurj / MLLM-protector
  The official repository for paper "MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance"
  ☆39Updated last year
• euanong / image-hijacks
  Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime
  ☆50Updated 2 years ago
• KuofengGao / Verbose_Images
  [ICLR 2024] Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
  ☆41Updated last year
• AoiDragon / HADES
  [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …
  ☆36Updated 11 months ago
• abc03570128 / Jailbreaking-Attack-against-Multimodal-Large-Language-Model
  ☆48Updated last year
• grasses / PoisonPrompt
  Code for paper: PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models, IEEE ICASSP 2024. Demo//124.220.228.133:11107
  ☆17Updated last year
• shiningrain / JailGuard
  ☆21Updated 6 months ago
• ChengshuaiZhao0 / The-Wolf-Within
  ☆12Updated 2 months ago
• Alibaba-AAIG / Oyster
  The Oyster series is a set of safety models developed in-house by Alibaba-AAIG, devoted to building a responsible AI ecosystem. | Oyster …
  ☆44Updated 3 weeks ago
• ASTRAL-Group / ASTRA
  [CVPR 2025] Official implementation for "Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbre…
  ☆39Updated 3 months ago
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆21Updated last year
• gyhdog99 / ECSO
  ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)
  ☆31Updated 11 months ago
• cvlab-columbia / ZSRobust4FoundationModel
  ☆43Updated 2 years ago
• RUCAIBox / HADES
  [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …
  ☆29Updated 11 months ago
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆48Updated last year
• rain152 / PAT
  [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning
  ☆10Updated 11 months ago