List Decoding of Short Codes for Communication over Unknown Fading Channels. - Marvin Xhemrishi; Mustafa Cemil Coskun; Gianluigi Liva; Johan Östman; Giuseppe Durisi (ACSSC, 2019)

Fountain Codes for Private Distributed Matrix-Matrix Multiplication. - Rawad Bitar; Marvin Xhemrishi; Antonia Wachter-Zeh (ISITA, 2020)

Rateless Codes for Private Distributed Matrix-Matrix Multiplication. - Rawad Bitar; Marvin Xhemrishi; Antonia Wachter-Zeh (CoRR, 2020)

Analysis of Communication Channels Related to Physical Unclonable Functions. - Georg Maringer; Marvin Xhemrishi; Sven Puchinger; Kathrin Garb; Hedongliang Liu; Thomas Jerkovits; Ludwig Kürzinger; Matthias Hiller; Antonia Wachter-Zeh (CoRR, 2021)

Computational Code-Based Privacy in Coded Federated Learning. - Marvin Xhemrishi; Alexandre Graell i Amat; Eirik Rosnes; Antonia Wachter-Zeh (ISIT, 2022)

Distributed Matrix-Vector Multiplication with Sparsity and Privacy Guarantees. - Marvin Xhemrishi; Rawad Bitar; Antonia Wachter-Zeh (ISIT, 2022)

Efficient Private Storage of Sparse Machine Learning Data. - Marvin Xhemrishi; Maximilian Egger; Rawad Bitar (ITW, 2022)

Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound. - Christoph Hofmeister; Rawad Bitar; Marvin Xhemrishi; Antonia Wachter-Zeh (IEEE J. Sel. Areas Inf. Theory, 2022)

The Wiretap Channel for Capacitive PUF-Based Security Enclosures. - Kathrin Garb; Marvin Xhemrishi; Ludwig Kürzinger; Christoph Frisch (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022)

Adaptive Private Distributed Matrix Multiplication. - Rawad Bitar; Marvin Xhemrishi; Antonia Wachter-Zeh (IEEE Trans. Inf. Theory, 2022)

Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. - Maximilian Egger; Marvin Xhemrishi; Antonia Wachter-Zeh; Rawad Bitar (ISIT, 2023)

Balancing Privacy and Security in Federated Learning with FedGT: A Group Testing Framework. - Marvin Xhemrishi; Johan Östman; Antonia Wachter-Zeh; Alexandre Graell i Amat (CoRR, 2023)

Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off. - Rawad Bitar; Maximilian Egger; Antonia Wachter-Zeh; Marvin Xhemrishi (IEEE Trans. Inf. Forensics Secur., 2024)

FedGT: Identification of Malicious Clients in Federated Learning With Secure Aggregation. - Marvin Xhemrishi; Johan Östman; Antonia Wachter-Zeh; Alexandre Graell i Amat (IEEE Trans. Inf. Forensics Secur., 2025)

Soft-Decision Decoding for LDPC Code-Based Quantitative Group Testing. - Marvin Xhemrishi; Johan Östman; Alexandre Graell i Amat (CoRR, 2025)

Detect & Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning. - Marvin Xhemrishi; Alexandre Graell i Amat; Balázs Pejó (CoRR, 2025)