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Robust Gaussian Filter
The dataset used in the paper is a simulation of a system with fat-tailed measurement described in Example 4.1. -
nvBench-Rob(nlq,schema)
The nvBench-Rob(nlq,schema) dataset is a testing set from nvBench-Rob, containing both NLQ variants and data schema variants, specifically designed to test the robustness of... -
nvBench-Robschema
The nvBench-Robschema dataset is a testing set from nvBench-Rob, containing only data schema variants, specifically designed to test the robustness of models against data schema... -
nvBench-Robnlq
The nvBench-Robnlq dataset is a testing set from nvBench-Rob, containing only NLQ variants, specifically designed to test the robustness of models against NLQ variants. -
nvBench-Rob
The nvBench-Rob dataset is a comprehensive robustness evaluation dataset for text-to-vis models, containing diverse lexical and phrasal variations based on the original... -
Informed Non-convex Robust Principal Component Analysis with Features
The dataset used in this paper is a low-rank matrix M, which can be decomposed into a low-rank component L∗ and a sparse error matrix S∗. The authors use this dataset to test... -
LEARNING PERTURBATION SETS FOR ROBUST MACHINE LEARNING
A general framework for learning perturbation sets from data when the perturbation cannot be mathematically-defined. -
3DeformRS: Certifying Spatial Deformations on Point Clouds
3D computer vision models are commonly used in security-critical applications such as autonomous driving and surgical robotics. Emerging concerns over the robustness of these... -
ImageNet-C
The dataset used in the paper is the ImageNet-C dataset, which is a dataset of images corrupted with various types of noise and occlusions.
