zbh2047 / L_inf-dist-net
[ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
☆41Updated 2 years ago
Alternatives and similar repositories for L_inf-dist-net:
Users that are interested in L_inf-dist-net are comparing it to the libraries listed below
- [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies☆22Updated 2 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆23Updated last year
- MACER: MAximizing CErtified Radius (ICLR 2020)☆28Updated 5 years ago
- ☆58Updated last year
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆92Updated 3 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆23Updated 2 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated 7 months ago
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆40Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆18Updated 2 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 4 years ago
- A Self-Consistent Robust Error (ICML 2022)☆67Updated last year
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated last year
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- ☆87Updated 7 months ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆24Updated last year
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆28Updated 2 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 4 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated 7 months ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆65Updated 3 months ago
- Visualization of mean field and neural tangent kernel regime☆21Updated 7 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles☆55Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- [CCS 2021] TSS: Transformation-specific smoothing for robustness certification☆25Updated last year
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆90Updated 2 years ago