sayakpaul / Adversarial-Examples-in-Deep-LearningLinks
Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
☆13Updated 5 years ago
Alternatives and similar repositories for Adversarial-Examples-in-Deep-Learning
Users that are interested in Adversarial-Examples-in-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 4 years ago
- TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).☆41Updated 4 years ago
- Fastai community entry to 2020 Reproducibility Challenge☆17Updated 3 years ago
- BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipe…☆18Updated 3 years ago
- Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle☆20Updated 5 years ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Updated 5 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- NLP Examples using the 🤗 libraries☆40Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- ☆19Updated 5 years ago
- An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data☆37Updated 4 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.☆86Updated 4 years ago
- Privacy-Preserving Bandits (MLSys'20)☆22Updated 2 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆15Updated 5 years ago
- This project presents a simple framework to retrieve images similar to a query image.☆28Updated 4 years ago
- This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.☆13Updated 4 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- Data Twinning☆25Updated 2 years ago
- A deep learning library based on Pytorch focussed on low resource language research and robustness☆70Updated 3 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 4 years ago
- A multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies.☆18Updated 4 years ago
- ☆79Updated 5 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.☆37Updated 3 years ago
- [WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy mod…☆15Updated 2 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆59Updated 3 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 5 years ago
- SPEAR: Programmatically label and build training data quickly.☆109Updated last year