IMDEA Networks
Publications
PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning
Tianyue Chu, Mengwei Yang, Nikolaos Laoutaris, Athina Markopoulou
ACM Transactions on Modeling and Performance Evaluation of Computing Systems. 10.1145/3702241. Noviembre 2024
An Intelligent Data-enabled Mobile Network Architecture
Arturo Azcorra, Albert Banchs, Nikolaos Laoutaris, Joerg Widmer
Springer. Septiembre 2024
Information-Theoretical Bounds on Privacy Leakage in Pruned Federated Learning
Tianyue Chu, Mengwei Yang, Nikolaos Laoutaris, Athina Markopoulou
ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning. Athens, Greece. Julio 2024
FedQV: Leveraging Quadratic Voting in Federated Learning
Tianyue Chu, Nikolaos Laoutaris
ACM SIGMETRICS. Venice, Italy. Junio 2024
HyperGraphDis: Leveraging Hypergraphs for Contextual and Social-Based Disinformation Detection
Nikos Salamanos, Pantelitsa Leonidou, Nikolaos Laoutaris, Michael Sirivianos, Maria Aspri, Marius Paraschiv
AAAI International Conference on Web and Social Media. Buffalo, New York, USA. Junio 2024
Privacy Perceptions and Behaviors of LGBTQ+ Community in Türkiye (Other)
Devriş Işler, Johanna Gunawan
Workshop on Technology and Consumer Protection (ConPro ’24), co-located with IEEE Symposium on Security and Privacy. San Francisco, CA, USA. Mayo 2024
FreqyWM: Frequency WaterMarking for the New Data Economy
Devriş Işler, Elisa Cabana, Alvaro Garcia, Georgia Koutrika, Nikolaos Laoutaris
International Conference on Data Engineering. Utrecht, Netherlands. Mayo 2024
Strengthening Privacy in Robust Federated Learning through Secure Aggregation
Tianyue Chu, Devriş Işler, Nikolaos Laoutaris
Workshop on Artificial Intelligence System with Confidential Computing (AISCC 2024), co-located with NDSS Symposium 2024. San Diego, CA, USA. Febrero 2024
Graph Database Watermarking Using Pseudo-Nodes
Tsvetomir Hristov, Devriş Işler, Nikolaos Laoutaris, Zekeriya Erkin
ACM Data Economy Workshop (DEC), co-located with ACM SIGCMOD 2023. Seattle, WA, USA. Junio 2023
Image Watermarking for Machine Learning Datasets
Palle Maesen, Devriş Işler, Nikolaos Laoutaris, Zekeriya Erkin
ACM Data Economy Workshop (DEC), co-located with ACM SIGCMOD 2023. Seattle, WA, USA. Junio 2023