Alternatives and similar repositories for CIBA

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

• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆49Updated last year
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆23Updated last year
• CGCL-codes / TeCo
  [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…
  ☆24Updated 2 years ago
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated last year
• ffhibnese / CPGC_VLP_Universal_Attacks
  [ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Gene…
  ☆34Updated 6 months ago
• Zoky-2020 / SGA
  Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]
  ☆70Updated 2 years ago
• Zixuan-Zhu / VaB
  ☆13Updated last year
• dayu11 / Availability-Attacks-Create-Shortcuts
  ☆10Updated 3 years ago
• ffhibnese / CGNC_Targeted_Adversarial_Attacks
  [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks
  ☆38Updated 9 months ago
• adversarial-for-goodness / Co-Attack
  official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models
  ☆65Updated 2 years ago
• Huang-yihao / Personalization-based_backdoor
  ☆10Updated last year
• jiangw-0 / LE_JCDP
  Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
  ☆11Updated last year
• liuxuannan / Stochastic-Gradient-Aggregation
  Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…
  ☆27Updated 2 years ago
• ShawnXYang / C-GSP
  ☆16Updated 3 years ago
• 20000yshust / SWARM
  [CVPR 2024] Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers
  ☆16Updated last year
• qizhangli / MoreBayesian-attack
  Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
  ☆18Updated 2 years ago
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆23Updated 2 years ago
• WU-YU-TONG / computational_efficient_backdoor
  ☆12Updated last year
• jiamingzhang94 / AnyAttack
  CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
  ☆65Updated 5 months ago
• zqypku / mm_poison
  ☆21Updated 2 years ago
• 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》
  ☆25Updated last year
• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆34Updated 2 years ago
• LiangSiyuan21 / BadCLIP
  ☆30Updated last year
• huanranchen / AdversarialAttacks
  ☆79Updated last year
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 3 years ago
• sail-sg / AnyDoor
  AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models
  ☆60Updated last year
• sycny / ZIP
  [NeurIPS2023] Black-box Backdoor Defense via Zero-shot Image Purification
  ☆16Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆28Updated 3 years ago
• TDteach / Demon-in-the-Variant
  ☆13Updated 4 years ago
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆18Updated 2 years ago