Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'
☆61Jun 3, 2018Updated 8 years ago
Alternatives and similar repositories for uncertainty-adversarial-paper
Users that are interested in uncertainty-adversarial-paper are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Dec 15, 2017Updated 8 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Feb 24, 2016Updated 10 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Jan 15, 2020Updated 6 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Nov 8, 2018Updated 7 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13May 3, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Jun 7, 2017Updated 9 years ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Aug 2, 2024Updated 2 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Feb 14, 2018Updated 8 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆47Sep 16, 2019Updated 7 years ago
- ☆83Oct 17, 2018Updated 7 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆135Jul 30, 2019Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 6 years ago
- Facebook Post Reactions dataset☆12Dec 7, 2017Updated 8 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- On the decision boundary of deep neural networks☆37Aug 23, 2018Updated 8 years ago
- MCMC routines☆12Nov 22, 2022Updated 3 years ago
- ☆11May 26, 2023Updated 3 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- Uncertainty interpretations of the neural network☆32May 3, 2018Updated 8 years ago
- This repository contains supplemental materials for the IEEE InfoVis 2018 submission "Hypothetical Outcome Plots Help Untrained Observers…☆14Oct 29, 2018Updated 7 years ago
- ☆53May 4, 2018Updated 8 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆125Apr 15, 2018Updated 8 years ago
- An empirical investigation of deep learning theory☆16Oct 3, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Image Super-Resolution as a Defense Against Adversarial Attacks☆91Jan 17, 2019Updated 7 years ago
- ☆10Nov 5, 2016Updated 9 years ago
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- ☆11Dec 9, 2017Updated 8 years ago
- Implementation in pytorch of SR-NMT https://arxiv.org/abs/1805.04185v1☆26Jun 8, 2018Updated 8 years ago
- DNN Inference with CPU, C++, ONNX support: Instant☆56Oct 17, 2018Updated 7 years ago
- Uncertainty estimation on Mnist dataset☆23Jan 13, 2018Updated 8 years ago
- Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"☆29Jan 26, 2020Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Nov 3, 2017Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- f-GANs in an Information Geometric Nutshell☆13Jun 21, 2017Updated 9 years ago
- Deep universal probabilistic programming with Python and PyTorch☆14Apr 1, 2020Updated 6 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆93Oct 3, 2023Updated 3 years ago
- Repository for reproducing `Model-Based Robust Deep Learning`☆17Jan 22, 2021Updated 5 years ago
- Deep Manifold Traversal☆14Nov 14, 2016Updated 9 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 years ago
- ☆18Dec 31, 2018Updated 7 years ago