16 citations · 30 across the 9 of their papers we have counts for
10 papers
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…
Effective Anonymous Messaging: the Role of Altruism
Marcell Frank, Balazs Pejo, Gergely Biczok
Anonymous messaging and payments have gained momentum recently due to their impact on individuals, society, and the digital landscape. Fuzzy Message Detection (FMD) is a privacy-pr…
6G for Connected Sky: A Vision for Integrating Terrestrial and Non-Terrestrial Networks
Mustafa Ozger, Istvan Godor, Anders Nordlow +15
In this paper, we present the vision of our project 6G for Connected Sky (6G-SKY) to integrate terrestrial networks (TNs) and non-terrestrial networks (NTNs) and outline the curren…
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…
Quality Inference in Federated Learning with Secure Aggregation
Balázs Pejó, Gergely Biczók
Federated learning algorithms are developed both for efficiency reasons and to ensure the privacy and confidentiality of personal and business data, respectively. Despite no data b…
Corona Games: Masks, Social Distancing and Mechanism Design
Balazs Pejo, Gergely Biczok
Pandemic response is a complex affair. Most governments employ a set of quasi-standard measures to fight COVID-19 including wearing masks, social distancing, virus testing and cont…
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…
Together or Alone: The Price of Privacy in Collaborative Learning
Balazs Pejo, Qiang Tang, Gergely Biczok
Machine learning algorithms have reached mainstream status and are widely deployed in many applications. The accuracy of such algorithms depends significantly on the size of the un…
Navigating MazeMap: indoor human mobility, spatio-logical ties and future potential
Gergely Biczok, Santiago Diez Martinez, Thomas Jelle +1
Global navigation systems and location-based services have found their way into our daily lives. Recently, indoor positioning techniques have also been proposed, and there are seve…