Related materials for robust and explainable machine learning
☆48Jan 29, 2018Updated 8 years ago
Alternatives and similar repositories for Robust-and-Explainable-Machine-Learning
Users that are interested in Robust-and-Explainable-Machine-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Sep 20, 2019Updated 6 years ago
- ☆42Sep 9, 2023Updated 2 years ago
- mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning☆11Jun 19, 2017Updated 8 years ago
- NIPS Adversarial Vision Challenge☆41Sep 17, 2018Updated 7 years ago
- This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to …☆33Dec 18, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆48May 14, 2021Updated 5 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16May 9, 2019Updated 7 years ago
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆136May 29, 2018Updated 8 years ago
- Implements attacks and defenses for machine learning systems☆13May 7, 2017Updated 9 years ago
- Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge☆19May 1, 2019Updated 7 years ago
- ☆20Mar 14, 2022Updated 4 years ago
- 5th place solution in "NIPS 2017: Non-targeted Adversarial Attack" (with solution in targeted attack and defence)☆10Nov 14, 2017Updated 8 years ago
- Code to replicate "Generating Visual Explanations"☆48Nov 1, 2020Updated 5 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Nov 10, 2017Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Website for Security and Privacy of Machine Learning☆14Dec 27, 2021Updated 4 years ago
- AAAI 2019 oral presentation☆53May 30, 2025Updated last year
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 3 years ago
- Contains implementation of denoising algorithms.☆11Jul 16, 2020Updated 5 years ago
- Sequenced Show, Attend, and Tell: Natural Language from Natural Images☆12Jun 15, 2016Updated 9 years ago
- SimEc code relying on the theano library - check out the simec repo instead for keras based code!☆10Feb 28, 2018Updated 8 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Aug 10, 2017Updated 8 years ago
- Designing efficient architectures for modeling temporal features with convolutional neural networks☆16Mar 17, 2017Updated 9 years ago
- Analysis of Adversarial Logit Pairing☆60Aug 13, 2018Updated 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.
- Explore using "Conditional Neural Process" for clustering longitudinal data efficiently☆13Oct 7, 2018Updated 7 years ago
- Residual LSTM for sanskrit text generation☆19May 2, 2018Updated 8 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Aug 5, 2020Updated 5 years ago
- Scaleable input gradient regularization☆22Jul 8, 2019Updated 6 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆13Sep 27, 2018Updated 7 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆255Oct 30, 2019Updated 6 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆112Feb 14, 2018Updated 8 years ago
- Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.☆142Jun 25, 2018Updated 7 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆28Jun 9, 2017Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Oct 20, 2017Updated 8 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆14Nov 25, 2017Updated 8 years ago
- EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples☆39Sep 22, 2018Updated 7 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Aug 4, 2017Updated 8 years ago
- ☆11Jun 9, 2023Updated 3 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Sep 17, 2020Updated 5 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Mar 17, 2021Updated 5 years ago