wagner-group / reap-benchmark
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
☆24Updated last year
Alternatives and similar repositories for reap-benchmark:
Users that are interested in reap-benchmark are comparing it to the libraries listed below
- [ECCV 2022] Shape Matters: Deformable Patch Attack☆21Updated 2 years ago
- ☆56Updated 2 years ago
- PyTorch implementation of Expectation over Transformation☆13Updated 2 years ago
- Physically Adversarial Infrared Patches with Learnable Shapes and Locations☆34Updated last year
- [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method☆22Updated 2 years ago
- The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"☆39Updated last year
- ICCV 2021☆12Updated 3 years ago
- ☆12Updated last year
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆17Updated last year
- ☆14Updated 4 years ago
- Adversarial Texture for Fooling Person Detectors in the Physical World☆57Updated 5 months ago
- LiangSiyuan21 / Parallel-Rectangle-Flip-Attack-A-Query-based-Black-box-Attack-against-Object-DetectionA Implementation of ICCV-2021(Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection)☆28Updated 3 years ago
- Implementation of AAAI 2022 Paper: Context-Aware Transfer Attacks for Object Detection☆18Updated 3 years ago
- Code repository for Ensemble-based Blackbox Attacks on Dense Prediction (EBAD), CVPR 2023☆23Updated 10 months ago
- Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)☆61Updated 5 years ago
- A curated list of papers for the transferability of adversarial examples☆63Updated 8 months ago
- ☆35Updated last year
- ICCV 2021☆15Updated 3 years ago
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆39Updated last year
- Robust Adversarial Perturbation on Deep Proposal-based Models☆25Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆82Updated 2 years ago
- https://arxiv.org/pdf/1906.11897.pdf☆20Updated 3 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆24Updated 2 years ago
- Official codes for GRA (Accepted by ICCV2023)☆16Updated last year
- [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…☆33Updated 3 years ago
- https://idrl-lab.github.io/Full-coverage-camouflage-adversarial-attack/☆47Updated 2 years ago
- ☆31Updated 2 years ago
- ☆24Updated 2 years ago
- ☆22Updated 2 years ago
- Official Tensorflow implementation for "Improving the Transferability of Adversarial Samples by Path-Augmented Method" (CVPR 2023).☆12Updated last year