alvinchangw / IGAM_CVPR2020
Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)
☆16Updated last year
Related projects: ⓘ
- ☆19Updated 3 years ago
- Implementation for Jacobian Adversarially Regularized Networks for Robustness (ICLR 2020)☆21Updated 4 years ago
- Official adversarial mixup resynthesis repository☆33Updated 4 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆17Updated 2 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Updated 4 years ago
- LaTex Poster for TOM-Net (CVPR 2018)☆41Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆28Updated 2 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆12Updated 4 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆17Updated last year
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- ☆25Updated 4 years ago
- ☆12Updated this week
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Updated 3 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- Code for the Adversarial Image Detectors and a Saliency Map☆12Updated 7 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 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
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆34Updated 5 years ago
- ☆34Updated 5 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆13Updated 3 years ago
- ☆19Updated 3 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆21Updated 4 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks☆22Updated 3 years ago
- This repository contains implementation of CROSSGRAD (https://openreview.net/forum?id=r1Dx7fbCW) and DAN (https://arxiv.org/abs/1505.0781…☆25Updated 5 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆39Updated 3 years ago
- Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness☆39Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Updated 2 years ago