wwoods / adversarial-explanations-cifarLinks
Code example for the paper, "Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness."
☆23Updated last year
Alternatives and similar repositories for adversarial-explanations-cifar
Users that are interested in adversarial-explanations-cifar are comparing it to the libraries listed below
Sorting:
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 6 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆144Updated 5 years ago
- REPresentAtion bIas Removal (REPAIR) of datasets☆56Updated 2 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆28Updated 6 years ago
- Concept activation vectors for Keras☆14Updated 2 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆96Updated 6 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆101Updated 3 years ago
- A PyTorch Implementation of a Large Margin Deep Networks for Classification☆23Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 6 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆126Updated 7 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Updated 4 years ago
- [ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study☆40Updated 3 years ago
- Information Bottlenecks for Attribution☆84Updated 3 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆164Updated 5 years ago
- Interpretation of Neural Network is Fragile☆36Updated last year
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆47Updated 4 years ago
- Towards Automatic Concept-based Explanations☆161Updated last year
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆91Updated 6 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 6 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16Updated 6 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 5 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 3 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 3 years ago
- ☆26Updated 6 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 7 years ago