Alternatives and similar repositories for C-GSP

Users that are interested in C-GSP are comparing it to the libraries listed below

• liuxuannan / Stochastic-Gradient-Aggregation
  Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…
  ☆27Updated 2 years ago
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆17Updated 2 years ago
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆27Updated 2 years ago
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆72Updated 2 years ago
• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆33Updated 2 years ago
• jiamingzhang94 / AnyAttack
  CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
  ☆47Updated last month
• zhipeng-wei / PNA-PatchOut
  ☆35Updated last year
• sail-sg / AnyDoor
  AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models
  ☆57Updated last year
• banyuanhao / PAP
  ☆23Updated 2 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆41Updated 4 years ago
• xiaosen-wang / SIT
  [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability
  ☆25Updated last year
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆48Updated last year
• Alibaba-AAIG / Beyond-ImageNet-Attack
  Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.
  ☆60Updated 3 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆21Updated last year
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• dongyp13 / memorization-AT
  ☆21Updated 3 years ago
• jiawangbai / BadCLIP
  Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf
  ☆21Updated last year
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆33Updated 3 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆31Updated 3 years ago
• chenweixin107 / TrojDiff
  ☆58Updated 2 years ago
• lafeat / advdiffuser
  AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)
  ☆19Updated 2 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆62Updated 2 years ago
• thu-ml / Attack-Bard
  ☆102Updated last year
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 3 years ago
• mo666666 / When-Adversarial-Training-Meets-Vision-Transformers
  Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…
  ☆34Updated 11 months ago
• Shelton1013 / Chain_of_Attack
  [CVPR'25]Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
  ☆18Updated 3 months ago
• jpzhang1810 / LDM-Robustness
  Pytorch implementation for the pilot study on the robustness of latent diffusion models.
  ☆13Updated 2 years ago
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆12Updated last year
• steven202 / semantic_adv_via_dm
  [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models
  ☆21Updated last year
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆62Updated 4 years ago