16 citations · 30 across the 9 of their papers we have counts for
4 papers · 1 filter
Private and Robust Contribution Evaluation in Federated Learning
Delio Jaramillo Velez, Gergely Biczok, Alexandre Graell i Amat +2
Cross-silo federated learning allows multiple organizations to collaboratively train machine learning models without sharing raw data, but client updates can still leak sensitive i…
Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks
Irina Chiscop, András Gazdag, Joost Bosman +1
Multiple attacks have shown that in-vehicle networks have vulnerabilities which can be exploited. Securing the Controller Area Network (CAN) for modern vehicles has become a necess…
Automatic Driver Identification from In-Vehicle Network Logs
Mina Remeli, Szilvia Lestyan, Gergely Acs +1
Data generated by cars is growing at an unprecedented scale. As cars gradually become part of the Internet of Things (IoT) ecosystem, several stakeholders discover the value of in-…
Extracting vehicle sensor signals from CAN logs for driver re-identification
Szilvia Lestyan, Gergely Acs, Gergely Biczok +1
Data is the new oil for the car industry. Cars generate data about how they are used and who's behind the wheel which gives rise to a novel way of profiling individuals. Several pr…