WhoTHU / Adversarial_Texture
Adversarial Texture for Fooling Person Detectors in the Physical World
☆59Updated 6 months ago
Alternatives and similar repositories for Adversarial_Texture
Users that are interested in Adversarial_Texture are comparing it to the libraries listed below
Sorting:
- ☆57Updated 2 years ago
- The repository is dedicated to tracking the latest advances in the field of Physical Adversarial Attack (PAA).☆88Updated 2 months ago
- Physically Adversarial Infrared Patches with Learnable Shapes and Locations☆36Updated last year
- https://idrl-lab.github.io/Full-coverage-camouflage-adversarial-attack/☆49Updated 2 years ago
- ICCV 2021☆20Updated 3 years ago
- ☆34Updated 2 years ago
- REAP: A Large-Scale Realistic Adversarial Patch Benchmark☆26Updated last year
- ICCV 2021☆15Updated 3 years ago
- Code repository for Ensemble-based Blackbox Attacks on Dense Prediction (EBAD), CVPR 2023☆24Updated 11 months ago
- ☆28Updated this week
- https://winterwindwang.github.io/Full-coverage-camouflage-adversarial-attack/☆17Updated 3 years ago
- Implements Adversarial Examples for Semantic Segmentation and Object Detection, using PyTorch and Detectron2☆50Updated 4 years ago
- The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"☆40Updated last year
- Unified Adversarial Patch for Cross-modal Attacks in the Physical World (ICCV, 2023)☆41Updated last year
- A Paperlist of Adversarial Attack on Object Detection☆118Updated 2 years ago
- [CVPR 2023] T-SEA: Transfer-based Self-Ensemble Attack on Object Detection☆102Updated 7 months ago
- The official implementation for "Towards Transferable Targeted 3D Adversarial Attack in the Physical World" (CVPR, 2024))☆30Updated 9 months ago
- https://arxiv.org/pdf/1906.11897.pdf☆21Updated 3 years ago
- PyTorch implementation of Expectation over Transformation☆13Updated 2 years ago
- [USENIX'23] TPatch: A Triggered Physical Adversarial Patch☆22Updated last year
- ☆25Updated 2 years ago
- ☆12Updated last year
- Code of our CVPR 2022 paper "Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon"☆62Updated 2 years ago
- Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While D…☆134Updated 2 years ago
- [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method☆23Updated 2 years ago
- Patch adversarial attack; object detection; CIKM2020 安全AI挑战者计划第四期:通用目标检测的对抗攻击☆44Updated 3 years ago
- Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)☆63Updated 5 years ago
- Code for "Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink" (CVPR 2021)☆34Updated 3 years ago
- ☆42Updated 5 years ago
- [ECCV 2022] Shape Matters: Deformable Patch Attack☆21Updated 2 years ago