MadryLab / spatial-pytorch
Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).
☆26Updated 5 years ago
Alternatives and similar repositories for spatial-pytorch:
Users that are interested in spatial-pytorch are comparing it to the libraries listed below
- Smooth Adversarial Training☆67Updated 4 years ago
- ☆35Updated 4 years ago
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Implementation for Jacobian Adversarially Regularized Networks for Robustness (ICLR 2020)☆21Updated 5 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Updated 3 years ago
- Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks☆22Updated 3 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 6 years ago
- ☆87Updated 9 months ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated 11 months ago
- Code for NeurIPS 2019 Paper☆48Updated 4 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 3 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Updated 5 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 5 years ago
- Pytorch - Adversarial Training☆26Updated 6 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 7 years ago
- Code for Stability Training with Noise (STN)☆21Updated 4 years ago
- ☆48Updated 4 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆97Updated 4 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆46Updated last year
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago