RayDeeA / ibinn_imagenet
☆23Updated 3 years ago
Related projects: ⓘ
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆63Updated 5 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆84Updated 2 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆17Updated last year
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆28Updated 2 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆43Updated last year
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆27Updated 4 years ago
- Code for NeurIPS 2019 Paper☆49Updated 4 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Updated 3 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 2 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 4 years ago
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Updated last year
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆94Updated 2 years ago
- ☆31Updated 3 years ago
- Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)☆21Updated last year
- Smooth Adversarial Training☆67Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Updated 2 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆26Updated 2 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated last year
- ☆44Updated 2 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆45Updated 2 years ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆22Updated 4 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 3 years ago
- [ICLR 2022]: Fast AdvProp☆35Updated 2 years ago
- Implementation for Jacobian Adversarially Regularized Networks for Robustness (ICLR 2020)☆21Updated 4 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Updated 4 years ago
- Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)☆19Updated 2 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago