IntelLabs / OSCARLinks
Object Sensing and Cognition for Adversarial Robustness
☆20Updated last year
Alternatives and similar repositories for OSCAR
Users that are interested in OSCAR are comparing it to the libraries listed below
Sorting:
- ☆129Updated 3 years ago
- ☆471Updated last month
- ARMORY Adversarial Robustness Evaluation Test Bed☆186Updated last year
- Algorithms for Privacy-Preserving Machine Learning in JAX☆107Updated this week
- Neural network verification in JAX☆145Updated 2 years ago
- Datasets derived from US census data☆272Updated last year
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆255Updated 4 years ago
- Code for fast dpsgd implementations in JAX/TF☆59Updated 3 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆595Updated 10 months ago
- ☆157Updated 3 years ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆100Updated 7 months ago
- Live Python Notebooks with any Editor☆277Updated 2 years ago
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.☆266Updated 3 months ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆33Updated 3 weeks ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated last month
- Train CIFAR10 to 94% accuracy in a few minutes/seconds. Based on https://github.com/davidcpage/cifar10-fast☆22Updated 2 years ago
- Discount jupyter.☆51Updated 8 months ago
- ETH Robustness Analyzer for Deep Neural Networks☆343Updated 2 years ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆186Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆328Updated 11 months ago
- Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.☆62Updated 6 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆945Updated last year
- PyTorch package to train and audit ML models for Individual Fairness☆66Updated last month
- Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"☆496Updated 2 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆108Updated last year
- Methods to soundly verify deep neural networks☆233Updated 6 months ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Updated 6 years ago
- Provable adversarial robustness at ImageNet scale☆401Updated 6 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆50Updated last year
- A Machine Learning workflow for Slurm.☆151Updated 4 years ago