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Found 4 papers, 2 papers with code
Explainability-Aware One Point Attack for Point Cloud Neural Networks
With the proposition of neural networks for point clouds, deep learning has started to shine in the field of 3D object recognition while researchers have shown an increased interest to investigate the reliability of point cloud networks by adversarial attacks.
Surrogate Model-Based Explainability Methods for Point Cloud NNs
In the field of autonomous driving and robotics, point clouds are showing their excellent real-time performance as raw data from most of the mainstream 3D sensors.
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
On the other hand, care labels are the result of a certification suite that tests whether stated guarantees hold.
Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework
How can they be guaranteed for a certain implementation of a machine learning model?
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