nmndeep / Robust-Segmentation
[ECCV 2024] Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
☆19Updated 8 months ago
Alternatives and similar repositories for Robust-Segmentation:
Users that are interested in Robust-Segmentation are comparing it to the libraries listed below
- [CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method☆16Updated last year
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆38Updated 3 months ago
- Code for the CVPR 2023 paper "Proximal Splitting Adversarial Attacks for Semantic Segmentation"☆21Updated 11 months ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆20Updated 10 months ago
- ☆35Updated 8 months ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 6 months ago
- A curated list of papers for the transferability of adversarial examples☆63Updated 8 months ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Updated last year
- ☆34Updated 2 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆19Updated 2 weeks ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- Code for Transferable Unlearnable Examples☆19Updated 2 years ago
- ☆68Updated 8 months ago
- This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…☆19Updated 8 months ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 2 years ago
- ☆23Updated last year
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks☆21Updated last year
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆24Updated 4 years ago
- ☆22Updated 2 years ago
- [NeurIPS'22] GAMA: Generative Adversarial Multi-Object Scene Attacks☆17Updated last year
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆19Updated 4 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆17Updated last year
- ☆10Updated 2 years ago
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆30Updated 2 months 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 2022 oral] Subspace Adversarial Training☆26Updated last year
- (AAAI 2024) Transferable Adversarial Attacks for Object Detection using Object-Aware Significant Feature Distortion☆12Updated last year
- [CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsi…☆23Updated 7 months ago