Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, C.-B. Schönlieb
☆16May 9, 2019Updated 6 years ago
Alternatives and similar repositories for robustness-interpretability
Users that are interested in robustness-interpretability are comparing it to the libraries listed below
Sorting:
- Explaining Image Classifiers by Counterfactual Generation☆28Apr 23, 2022Updated 3 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Dec 2, 2018Updated 7 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 3 years ago
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22May 11, 2023Updated 2 years ago
- ☆11Oct 22, 2020Updated 5 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Oct 28, 2019Updated 6 years ago
- ☆22Jul 28, 2020Updated 5 years ago
- StrAttack, ICLR 2019☆33Aug 4, 2019Updated 6 years ago
- ☆18Sep 25, 2019Updated 6 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Nov 23, 2022Updated 3 years ago
- [CVPR'19] Trust Region Based Adversarial Attack☆20Dec 11, 2020Updated 5 years ago
- Getting Starting with NIMBUS-CORE☆10Dec 16, 2023Updated 2 years ago
- ☆51Aug 29, 2020Updated 5 years ago
- ☆48Feb 9, 2021Updated 5 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Jul 4, 2018Updated 7 years ago
- ☆20Jun 10, 2020Updated 5 years ago
- Papers on interpretable deep learning, for review☆29Dec 21, 2017Updated 8 years ago
- Code for Stability Training with Noise (STN)☆22Dec 27, 2020Updated 5 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Apr 27, 2022Updated 3 years ago
- ☆113Nov 21, 2022Updated 3 years ago
- Implementation of the Biased Boundary Attack for ImageNet☆22Aug 18, 2019Updated 6 years ago
- Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"☆30Aug 17, 2023Updated 2 years ago
- ☆27May 27, 2020Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Aug 13, 2018Updated 7 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆126Apr 15, 2018Updated 7 years ago
- Implementation of Contrastive Learning with Adversarial Examples☆29Jan 11, 2021Updated 5 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Jul 24, 2022Updated 3 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆41Jul 25, 2024Updated last year
- Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018☆14Feb 23, 2018Updated 8 years ago
- CartoonX is a saliency map method for image classifiers operating in the wavelet/shearlet domain.☆10Updated this week
- 深度学习☆10Jun 9, 2017Updated 8 years ago
- Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression☆13Sep 18, 2016Updated 9 years ago
- Official Implementation for CVPR 2025 paper Instant Adversarial Purification with Adversarial Consistency Distillation.☆15Dec 19, 2025Updated 2 months ago
- Datacenter simulation toolkit for the OpenDC project☆10Aug 24, 2020Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Oct 9, 2017Updated 8 years ago
- ☆12Jan 25, 2025Updated last year
- This is a project of Interspeech2021 paper "SpecMix : A Mixed Sample Data Augmentation method for Training with Time-Frequency Domain Fea…☆11Sep 27, 2022Updated 3 years ago
- A simple tool to generate a binary hex map of Thailand☆12Jan 9, 2024Updated 2 years ago
- ☆11Mar 24, 2023Updated 2 years ago