Alternatives and similar repositories for privacy-inference-multimodal

Users that are interested in privacy-inference-multimodal are comparing it to the libraries listed below

• itsvaibhav01 / Immune
  [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
  ☆18Updated 2 weeks ago
• NY1024 / BAP-Jailbreak-Vision-Language-Models-via-Bi-Modal-Adversarial-Prompt
  ☆46Updated last year
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 7 months ago
• RU-System-Software-and-Security / NONE
  ☆11Updated 2 years ago
• inspire-group / tta_risk
  ☆11Updated 2 years ago
• RUCAIBox / HADES
  [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …
  ☆22Updated 8 months ago
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated 9 months ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆20Updated last year
• cvlab-columbia / ZSRobust4FoundationModel
  ☆43Updated 2 years ago
• YitingQu / unsafe-diffusion
  ☆35Updated 11 months ago
• RylanSchaeffer / AstraFellowship-When-Do-VLM-Image-Jailbreaks-Transfer
  Code for ICLR 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
  ☆29Updated 3 weeks ago
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated 2 years ago
• rain152 / PAT
  [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning
  ☆10Updated 7 months ago
• AoiDragon / HADES
  [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …
  ☆29Updated 8 months ago
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆51Updated 6 months ago
• Haochen-Luo / CroPA
  ☆44Updated 6 months ago
• Sadcardation / MLLM-Refusal
  Repository for the Paper: Refusing Safe Prompts for Multi-modal Large Language Models
  ☆17Updated 8 months ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• jiamingzhang94 / AnyAttack
  CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
  ☆35Updated 3 months ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year
• KuofengGao / CIBA
  [BMVC 2023] Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning
  ☆15Updated last year
• tianshuocong / TePA
  [S&P'24] Test-Time Poisoning Attacks Against Test-Time Adaptation Models
  ☆18Updated 4 months ago
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• HanxunH / XTransferBench
  [ICML 2025] X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
  ☆21Updated last week
• tmllab / 2025_ICLR_PiF
  ☆25Updated last month
• huanranchen / VLMTransfer
  A package that achieves 95%+ transfer attack success rate against GPT-4
  ☆20Updated 8 months ago
• Huang-yihao / Personalization-based_backdoor
  ☆10Updated 6 months ago
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆20Updated last year
• xpf / Data-Efficient-Backdoor-Attacks
  Data-Efficient Backdoor Attacks
  ☆18Updated 3 years ago
• gyhdog99 / ECSO
  ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)
  ☆25Updated 7 months ago