Here are
261 public repositories
matching this topic...
A Toolbox for Adversarial Robustness Research
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Apr 16, 2022
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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
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
Code and information for face image quality assessment with SER-FIQ
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Mar 12, 2022
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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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Adversarial attacks and defenses on Graph Neural Networks.
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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Self-Supervised Learning for OOD Detection (NeurIPS 2019)
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Apr 29, 2021
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A curated (most recent) list of resources for Learning with Noisy Labels
A new test set for ImageNet
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Nov 19, 2019
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Jupyter Notebook
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
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Apr 8, 2022
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ImageNet-R(endition) and DeepAugment (ICCV 2021)
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Jul 23, 2021
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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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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
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
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Mar 25, 2022
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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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Go library to create resilient feedback loop/control controllers.
💡 Adversarial attacks on model explanations, and evaluation approaches
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
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Apr 24, 2022
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Python
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
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Dec 9, 2021
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[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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Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
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Aug 25, 2021
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Apr 22, 2022
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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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Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
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Sep 23, 2021
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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
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
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Mar 1, 2022
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Python
Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).
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Dec 9, 2021
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Jupyter Notebook
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
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Feb 15, 2021
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Python
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