Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
☆351Aug 13, 2019Updated 6 years ago
Alternatives and similar repositories for deep_Mahalanobis_detector
Users that are interested in deep_Mahalanobis_detector are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A simple and effective method for detecting out-of-distribution images in neural networks.☆542Oct 12, 2021Updated 4 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆234Dec 27, 2018Updated 7 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Apr 8, 2020Updated 5 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆574Oct 9, 2021Updated 4 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Mar 30, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆269Apr 29, 2021Updated 4 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Jun 28, 2017Updated 8 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆77Feb 15, 2021Updated 5 years ago
- ☆46Dec 20, 2020Updated 5 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Apr 12, 2022Updated 3 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Mar 13, 2021Updated 5 years ago
- ☆26Jul 13, 2022Updated 3 years ago
- ☆429Aug 28, 2021Updated 4 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Dec 31, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆284Oct 19, 2023Updated 2 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆124Nov 4, 2020Updated 5 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275May 5, 2018Updated 7 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 4 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆56Mar 24, 2022Updated 4 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Oct 3, 2023Updated 2 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Feb 14, 2018Updated 8 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,142Aug 24, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Reproducing experiment result of 'A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks', by Hendryc…☆14Sep 17, 2018Updated 7 years ago
- Benchmarking Generalized Out-of-Distribution Detection☆1,040Dec 1, 2025Updated 3 months ago
- Detect adversarial images from intermediate features in distance space☆12Aug 22, 2018Updated 7 years ago
- ☆18Dec 4, 2021Updated 4 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Mar 21, 2022Updated 4 years ago
- ☆16Feb 20, 2020Updated 6 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Feb 17, 2022Updated 4 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Jul 16, 2021Updated 4 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆37Nov 22, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆158Feb 2, 2023Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 3 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆65Aug 13, 2023Updated 2 years ago
- Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching☆93Sep 18, 2023Updated 2 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Nov 6, 2023Updated 2 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆48May 14, 2021Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆93Feb 11, 2022Updated 4 years ago