RuntianZ / adversarial-robustness-unlabeledLinks
Adversarially Robust Generalization Just Requires More Unlabeled Data
☆11Updated 6 years ago
Alternatives and similar repositories for adversarial-robustness-unlabeled
Users that are interested in adversarial-robustness-unlabeled are comparing it to the libraries listed below
Sorting:
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 6 years ago
- ☆88Updated last year
- This repository is no longer maintained. Check☆81Updated 5 years ago
- ☆31Updated 5 years ago
- ☆42Updated 2 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 5 years ago
- ☆56Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- ☆27Updated 7 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Updated 7 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆61Updated 6 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 6 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆100Updated 4 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 8 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 5 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 3 years ago
- ☆25Updated 5 years ago
- Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching☆27Updated 7 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆129Updated 6 years ago
- Geometric Certifications of Neural Nets☆42Updated 3 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago