Alternatives and similar repositories for ZSRobust4FoundationModel

Users that are interested in ZSRobust4FoundationModel are comparing it to the libraries listed below

• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆56Updated 11 months ago
• yunqing-me / AttackVLM
  [NeurIPS-2023] Annual Conference on Neural Information Processing Systems
  ☆222Updated 11 months ago
• Zoky-2020 / SGA
  Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]
  ☆67Updated 2 years ago
• sail-sg / AnyDoor
  AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models
  ☆60Updated last year
• Sxing2 / CLIP-Test-time-Counterattacks
  [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP
  ☆36Updated 6 months ago
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• Haochen-Luo / CroPA
  ☆54Updated last year
• huanranchen / AdversarialAttacks
  ☆79Updated last year
• serendipity1122 / Pre-trained-Model-Guided-Fine-Tuning-for-Zero-Shot-Adversarial-Robustness
  Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》
  ☆24Updated last year
• SRI-CSL / TrinityMultimodalTrojAI
  ☆34Updated 3 years ago
• ZSHsh98 / EPS-AD
  This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).
  ☆38Updated last year
• PKU-ML / DYNACL
  [ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"
  ☆18Updated 2 years ago
• jiamingzhang94 / AnyAttack
  CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
  ☆60Updated 4 months ago
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆81Updated 10 months ago
• TomSheng21 / AdaptGuard
  ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation
  ☆11Updated last year
• itsvaibhav01 / Immune
  [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
  ☆25Updated 5 months ago
• ericyinyzy / VLAttack
  This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…
  ☆63Updated 8 months ago
• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆33Updated 2 years ago
• eth-sri / privacy-inference-multimodal
  ☆16Updated 10 months ago
• IBM / composite-adv
  [CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsi…
  ☆24Updated 2 months ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 4 years ago
• banyuanhao / PAP
  ☆23Updated 2 years ago
• justincui03 / dc_benchmark
  ☆89Updated 2 years ago
• adversarial-for-goodness / Co-Attack
  official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models
  ☆64Updated 2 years ago
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆24Updated last year
• jiamingzhang94 / Adversarial-Prompt-Tuning
  ECCV2024: Adversarial Prompt Tuning for Vision-Language Models
  ☆30Updated last year
• pantheon5100 / DeACL
  This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…
  ☆19Updated last year
• ShawnXYang / C-GSP
  ☆15Updated 3 years ago
• zhangmarvin / memo
  ☆69Updated 2 years ago
• UniSerj / Random-Projection-Filters
  [CVPR 2023] Adversarial Robustness via Random Projection Filters
  ☆14Updated 2 years ago