nexuslrf / knowledge_consistencyLinks
Codes for our ICLR2020 paper: Knowledge Consistency between Neural Networks and Beyond
☆16Updated 5 years ago
Alternatives and similar repositories for knowledge_consistency
Users that are interested in knowledge_consistency are comparing it to the libraries listed below
Sorting:
- ☆108Updated 3 years ago
- A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"☆49Updated 4 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆114Updated 3 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- ☆35Updated 4 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 8 months ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles☆56Updated 3 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- PyTorch library for adversarial attack and training☆146Updated 6 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- Pytorch - Adversarial Training☆26Updated 7 years ago
- Empirical tricks for training robust models (ICLR 2021)☆254Updated 2 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- Code for NeurIPS 2019 Paper☆47Updated 5 years ago
- Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)☆11Updated 4 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- ☆14Updated 6 years ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆57Updated 3 years ago
- ☆158Updated 4 years ago