VITA-Group / Adv-SS-Pretraining
[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
☆85Updated 3 years ago
Alternatives and similar repositories for Adv-SS-Pretraining:
Users that are interested in Adv-SS-Pretraining are comparing it to the libraries listed below
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆65Updated 5 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 4 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 2 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆55Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 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 3 years ago
- ☆107Updated 3 years ago
- Smooth Adversarial Training☆67Updated 4 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)☆108Updated last year
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆70Updated 5 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆61Updated last year
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 3 years ago
- Code for NeurIPS 2019 Paper☆48Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- ☆17Updated 6 years ago
- This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".☆48Updated 4 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆115Updated 3 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 4 years ago
- [ICLR 2022]: Fast AdvProp☆34Updated 2 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 5 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆38Updated 3 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago