Here are
184 public repositories
matching this topic...
A Toolbox for Adversarial Robustness Research
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Jun 21, 2021
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Jupyter Notebook
Corruption and Perturbation Robustness (ICLR 2019)
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May 3, 2021
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Python
A Harder ImageNet Test Set (CVPR 2021)
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Mar 1, 2021
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Python
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
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Jan 25, 2021
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Python
Code and information for face image quality assessment with SER-FIQ
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Jun 9, 2021
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Python
Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
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Jun 6, 2021
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Python
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
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Apr 29, 2021
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Python
Adversarial attacks and defenses on Graph Neural Networks.
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
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Jul 25, 2019
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Jupyter Notebook
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
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Jun 8, 2019
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Python
Go library to create resilient feedback loop/control controllers.
A new test set for ImageNet
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Nov 19, 2019
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Jupyter Notebook
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
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Mar 26, 2021
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Python
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
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Oct 21, 2020
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ImageNet-R(endition) and DeepAugment
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Feb 7, 2021
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Python
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
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Jul 2, 2020
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TF2.0 port for Augmix paper
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Feb 4, 2020
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Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
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May 15, 2019
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Python
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
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Mar 5, 2021
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Python
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Mar 25, 2021
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Swift
Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
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Jun 7, 2021
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Python
Recentrifuge: robust comparative analysis and contamination removal for metagenomics
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May 12, 2021
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Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
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Oct 25, 2020
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Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
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Jun 11, 2020
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Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
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Oct 27, 2020
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Jupyter Notebook
A curated (most recent) list of resources for Learning with Noisy Labels
A Closer Look at Accuracy vs. Robustness
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May 17, 2021
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Python
Contains code for the paper "Vision Transformers are Robust Learners".
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May 18, 2021
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Jupyter Notebook
Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
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Oct 22, 2020
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Python
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Jun 8, 2021
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Jupyter Notebook
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