Alternatives and similar repositories for composite-adv

Users that are interested in composite-adv are comparing it to the libraries listed below

• JindongGu / Awesome_Adversarial_Transferability
  A curated list of papers for the transferability of adversarial examples
  ☆72Updated 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》
  ☆21Updated last year
• huanranchen / AdversarialAttacks
  ☆75Updated 11 months ago
• jiamingzhang94 / AnyAttack
  CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
  ☆40Updated 3 weeks ago
• ZhengyuZhao / TransferAttackEval
  Revisiting Transferable Adversarial Images (arXiv)
  ☆124Updated 4 months ago
• Alexkael / Randomized-Adversarial-Training
  ☆30Updated last year
• wzekai99 / DM-Improves-AT
  Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
  ☆141Updated last year
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆21Updated last year
• SCLBD / Transfer_attack_RAP
  ☆35Updated 2 years ago
• liuxuannan / Stochastic-Gradient-Aggregation
  Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…
  ☆26Updated last year
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆27Updated 2 years ago
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆16Updated 2 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• zhipeng-wei / PNA-PatchOut
  ☆35Updated last year
• adversarial-for-goodness / Co-Attack
  official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models
  ☆59Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆26Updated 2 years ago
• KuofengGao / Verbose_Images
  [ICLR 2024] Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
  ☆36Updated last year
• GATECH-EIC / Patch-Fool
  [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…
  ☆33Updated 3 years ago
• RYC-98 / GRA
  Official codes for GRA (Accepted by ICCV2023)
  ☆17Updated last year
• Zhijin-Ge / STM
  [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.
  ☆20Updated last year
• NY1024 / BAP-Jailbreak-Vision-Language-Models-via-Bi-Modal-Adversarial-Prompt
  ☆47Updated last year
• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆35Updated 2 years ago
• ericyinyzy / VLAttack
  This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…
  ☆55Updated 3 months ago
• SCLBD / BlackboxBench
  ☆109Updated last month
• renjie3 / TUE
  Code for Transferable Unlearnable Examples
  ☆20Updated 2 years ago
• xiaosen-wang / SIT
  [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability
  ☆24Updated last year
• banyuanhao / PAP
  ☆23Updated 2 years ago
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆30Updated 3 months ago
• ZFancy / IAD
  [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
  ☆21Updated 3 years ago
• cvlab-columbia / ZSRobust4FoundationModel
  ☆43Updated 2 years ago