oval-group / statistical-robustness
Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"
☆12Updated 6 years ago
Alternatives and similar repositories for statistical-robustness:
Users that are interested in statistical-robustness are comparing it to the libraries listed below
- Pytorch package for geometric softmax☆12Updated 5 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 5 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆13Updated 6 years ago
- ☆20Updated 6 years ago
- ☆26Updated 6 years ago
- Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks☆22Updated 3 years ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆60Updated 6 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 5 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆13Updated 7 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code Repository to check robustness of 3D Deep Learning (Volumetric and PointNet) to occlusion attacks☆14Updated 6 years ago
- Zeroth-order Min-max Optimization☆11Updated 4 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆22Updated 6 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Updated 6 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- ☆20Updated 4 years ago
- code for the paper https://arxiv.org/abs/1902.00407☆13Updated 5 years ago
- PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion☆21Updated 6 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- ☆25Updated 2 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 5 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Updated 2 years ago