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43 search results found

Generalization Causality ⭐ 993

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization model各式各样研究的阅读笔记

Robustness ⭐ 728

Corruption and Perturbation Robustness (ICLR 2019)

Advances In Label Noise Learning ⭐ 465

A curated (most recent) list of resources for Learning with Noisy Labels

Photoguard ⭐ 431

Raising the Cost of Malicious AI-Powered Image Editing

Awesome Out Of Distribution Detection ⭐ 400

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Assembled Cnn ⭐ 311

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Easyrobust ⭐ 293

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

Diffusion Classifier ⭐ 255

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

Awesome Trustworthy Deep Learning ⭐ 254

A curated list of trustworthy deep learning papers. Daily updating...

Adversarial Explainable Ai ⭐ 235

💡 Adversarial attacks on explanations and how to defend them

Modelnet40 C ⭐ 184

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

S Attack ⭐ 85

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Augmix_tf2 ⭐ 67

TF2.0 port for Augmix paper

Shortcut Perspective ⭐ 67

Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)

Beyond Inet ⭐ 62

Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"

Awesome Distribution Shift ⭐ 57

A curated list of papers and resources about the distribution shift in machine learning.

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Onlinelabelsmoothing ⭐ 45

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

A implementation of Power Normalized Cepstral Coefficients: PNCC

Revisiting At ⭐ 31

Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"

Robust Gcn ⭐ 29

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Raw2logit ⭐ 27

In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code repository contains the materials for the second ingredient, the image processing models, as well as scripts to load data and run experiments. https://arxiv.org/abs/2211.02578

Gps Augment ⭐ 27

Simple but high-performing method for learning a policy of test-time augmentation

Comprehensive Tacotron2 ⭐ 23

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

Kdd2022 Tutorial Time Series ⭐ 23

KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective

Smoothing Consistency ⭐ 19

Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

Robustarchitecturesearch ⭐ 18

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

Robust Nets ⭐ 14

Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).

Smoothmix ⭐ 13

Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

Nat Acl2020 ⭐ 13

Simp Gcn ⭐ 12

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Low Shot Robustness ⭐ 11

Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"

Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"

The VeriNet toolkit for verification of neural networks

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

Image Masking for Robust Self-Supervised Monocular Depth Estimation, accepted at ICRA 2023

Adversarial Attack On 3d U Net Model Brain Tumour Segmentation. ⭐ 7

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

Astroaugmentations ⭐ 7

A package with various custom augmentations implemented which are specifically designed around astronomical data.

Calibrated Bert Fine Tuning ⭐ 5

Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

Cvpr22w_robustnessthroughthelens ⭐ 5

Official repository of our submission "Adversarial Robustness through the Lens of Convolutional Filters" for the CVPR2022 Workshop "The Art of Robustness: Devil and Angel in Adversarial Machine Learning Workshop"

Lipschitz-Certifiable Training with a Tight Outer Bound [NeurIPS 2020] | BCP (Box Constraint Propagation) | ⚡💪🛡️

Composite Adv ⭐ 5

[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.

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