retsuh-bqw / ICCV23-Towards-Building-More-Robust-Models-with-Frequency-BiasLinks
[ICCV 2023] Towards Building More Robust Models with Frequency Bias
☆18Updated last year
Alternatives and similar repositories for ICCV23-Towards-Building-More-Robust-Models-with-Frequency-Bias
Users that are interested in ICCV23-Towards-Building-More-Robust-Models-with-Frequency-Bias are comparing it to the libraries listed below
Sorting:
- [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks☆36Updated 4 months ago
- AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)☆19Updated 2 years ago
- ☆35Updated last year
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆72Updated 2 years ago
- ☆18Updated 2 years ago
- [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models☆21Updated last year
- ECCV2024: Adversarial Prompt Tuning for Vision-Language Models☆27Updated 10 months ago
- [NeurIPS 2022] GAMA: Generative Adversarial Multi-Object Scene Attacks☆18Updated 2 years ago
- [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability☆25Updated last year
- [ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Gene…☆24Updated 2 months ago
- [NeurIPS 2023] Content-based Unrestricted Adversarial Attack☆28Updated last month
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆52Updated 9 months ago
- [CVPR 2022 oral] Subspace Adversarial Training☆27Updated 2 years ago
- The official PyTorch implementation of "Adversarially-Aware Robust Object Detector"☆61Updated 2 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆27Updated 2 years ago
- Feature Separation and Recalibration (CVPR 2023 Highlights)☆33Updated last year
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆14Updated 2 years ago
- [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…☆34Updated 3 years ago
- [CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method☆18Updated 2 years ago
- [CVPR'25]Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks☆18Updated 3 months ago
- [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP☆29Updated 3 months ago
- Unified Adversarial Patch for Cross-modal Attacks in the Physical World (ICCV, 2023)☆43Updated last year
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆33Updated 2 years ago
- ☆43Updated 2 years ago
- ☆14Updated 3 years ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆12Updated last year
- ☆58Updated 2 years ago
- This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…☆19Updated last year
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆21Updated last year
- ☆78Updated last year