Robust classification
94 papers with code • 2 benchmarks • 6 datasets
Benchmarks
These leaderboards are used to track progress in Robust classification
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
Libraries
Use these libraries to find Robust classification models and implementations
CIFAR-10
MNIST-C
ModelNet40-C
DeepWeeds
N-ImageNet
WHYSHIFT
Latest papers
Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance
Classification of high-dimensional low sample size (HDLSS) data poses a challenge in a variety of real-world situations, such as gene expression studies, cancer research, and medical imaging.
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions
In response, researchers have developed image corruption datasets to evaluate the performance of deep neural networks in handling such corruptions.
EventCLIP: Adapting CLIP for Event-based Object Recognition
Recent advances in zero-shot and few-shot classification heavily rely on the success of pre-trained vision-language models (VLMs) such as CLIP.
CARSO: Blending Adversarial Training and Purification Improves Adversarial Robustness
In this work, we propose a novel adversarial defence mechanism for image classification - CARSO - blending the paradigms of adversarial training and adversarial purification in a mutually-beneficial, robustness-enhancing way.
Robust Classification via a Single Diffusion Model
huanranchen/AdversarialAttacks
•
•
Since our method does not require training on particular adversarial attacks, we demonstrate that it is more generalizable to defend against multiple unseen threats.
Stratified Adversarial Robustness with Rejection
We theoretically analyze the stratified rejection setting and propose a novel defense method -- Adversarial Training with Consistent Prediction-based Rejection (CPR) -- for building a robust selective classifier.
Thermal Spread Functions (TSF): Physics-guided Material Classification
aniketdashpute/tsf
•
•
CVPR 2023
Our key observation is that the rate of heating and cooling of an object depends on the unique intrinsic properties of the material, namely the emissivity and diffusivity.
EPiC: Ensemble of Partial Point Clouds for Robust Classification
yossilevii100/EPiC
•
•
ICCV 2023
In this work we propose a general ensemble framework, based on partial point cloud sampling.
Leaving Reality to Imagination: Robust Classification via Generated Datasets
hritikbansal/generative-robustness
•
•
Recent research on robustness has revealed significant performance gaps between neural image classifiers trained on datasets that are similar to the test set, and those that are from a naturally shifted distribution, such as sketches, paintings, and animations of the object categories observed during training.
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent
nkalyanv/rgcf
•
•
This paper proposes a Robust Gradient Classification Framework (RGCF) for Byzantine fault tolerance in distributed stochastic gradient descent.
