Archive

TK researchers, in a collaboration with the AI&ML group, had their paper titled “User-Level Label Leakage from Gradients in Federated Learning” accepted at one of the top conferences on privacy, the annual Privacy Enhancing Technologies Symposium (PETS) 2022 conference in July 11–15, 2022 Sydney, Australia.

Accepted journal articles at Elsevier Journal of Computers & Electrical Engineering, special issue on Research challenges and directions of Data Mining in Edge Computing systems , November 2021.

This year's top conference on Human-Computer Interaction, CHI 2021, was a great success for the HCI group of the Telecooperation Lab. TK presented three full papers, three late breaking works and an interactivity

We are thrilled to announce that our paper “On generating network traffic datasets with synthetic attacks for intrusion detection” is accepted at ACM Transactions on Privacy and Security (TOPS) journal.

The article “Detecting and Tracking Criminals in the Real World through an IoT-Based System” has been published in Sensors Journal, in July 2020.

The paper “On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources” was accepted at International Conference of Computational Science 2020, Amsterdam, The Netherlands, 3-5 June, 2020.

The paper “Enhancing Privacy via Hierarchical Federated Learning” was accepted at the International Workshop on Privacy Engineering (IWPE), to be co-located with the IEEE EuroS&P 2020 conference in September 7-11, 2020 in Genova, Italy.

The 3rd Interdisciplinary Workshop on Privacy and Trust (iPAT 2020) will be held in conjunction with the 15th International Conference on Availability, Reliability and Security (ARES 2020)

On December 4, 2019, the National Cybersecurity Research Ce nter ATHENE was inaugurated in Darmstadt.

Second funding phase for RTG PAT approved

The paper “Sunstone: Navigating the Way Through the Fog” was accepted at the International Conference on Fog and Edge Computing (ICFEC).

Andrea Tundis published a book chapter resulting from the research conducted in the context of the EU TAKEDOWN research project.

Aidmar Wainakh presenting his Paper “Efficient Privacy-Preserving Recommendations based on Social Graphs” at the ACM Conference Series on Recommender Systems (RecSys 2019)