output
20162024
most citedSurvey on Misbehavior Detection in Cooperative Intelligent Transportation Systems

257 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2024★ 7 cited

A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks

William Lindskog, Christian Prehofer

Federated Learning (FL) has lately gained traction as it addresses how machine learning models train on distributed datasets. FL was designed for parametric models, namely Deep Neu…

cs.LG2024★ 2 cited

Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data

William Lindskog, Christian Prehofer, Sarandeep Singh

Federated Learning (FL) has gained considerable traction, yet, for tabular data, FL has received less attention. Most FL research has focused on Neural Networks while Tree-Based Mo…

cs.LG2024★ 11 cited

Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case

William Lindskog, Christian Prehofer

In this paper, we show how Federated Learning (FL) can be applied to vehicular use-cases in which we seek to classify obstacles, irregularities and pavement types on roads. Our pro…

cs.LG2022★ 5 cited

Are Transformers More Robust? Towards Exact Robustness Verification for Transformers

Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen +1

As an emerging type of Neural Networks (NNs), Transformers are used in many domains ranging from Natural Language Processing to Autonomous Driving. In this paper, we study the robu…

cs.LG2020★ 1 cited

Safety-Aware Hardening of 3D Object Detection Neural Network Systems

Chih-Hong Cheng

We study how state-of-the-art neural networks for 3D object detection using a single-stage pipeline can be made safety aware. We start with the safety specification (reflecting the…