Bai-Li / STN-CodeLinks
Code for Stability Training with Noise (STN)
☆22Updated 4 years ago
Alternatives and similar repositories for STN-Code
Users that are interested in STN-Code are comparing it to the libraries listed below
Sorting:
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- ☆48Updated 4 years ago
- Code for FAB-attack☆33Updated 4 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 6 years ago
- AAAI 2019 oral presentation☆51Updated 3 weeks ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆33Updated 4 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated 11 months ago
- ☆87Updated 11 months ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- StrAttack, ICLR 2019☆33Updated 5 years ago
- ☆54Updated 2 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 2 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.☆17Updated 2 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- [CVPR'19] Trust Region Based Adversarial Attack☆20Updated 4 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 6 years ago
- MACER: MAximizing CErtified Radius (ICLR 2020)☆30Updated 5 years ago