singlasahil14 / CASO
code for the paper https://arxiv.org/abs/1902.00407
☆13Updated 5 years ago
Alternatives and similar repositories for CASO:
Users that are interested in CASO are comparing it to the libraries listed below
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 2 years ago
- ☆87Updated 6 months ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Code for Stability Training with Noise (STN)☆21Updated 4 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 4 years ago
- ☆29Updated 6 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- ☆22Updated 5 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 4 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- Learning perturbation sets for robust machine learning☆64Updated 3 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 5 years ago
- ☆54Updated 4 years ago
- ☆47Updated 4 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 5 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated 6 months ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- ☆31Updated 4 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16Updated 5 years ago
- Interpretation of Neural Network is Fragile☆36Updated 9 months ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago