Repeated Knowledge Distillation with Confidence Masking to Mitigate Membership Inference Attacks. - Federico Mazzone; Leander van den Heuvel; Maximilian Huber; Cristian Verdecchia; Maarten H. Everts; Florian Hahn 001; Andreas Peter 001 (AISec@CCS, 2022)

On the Minimum Distance of Subspace Codes Generated by Linear Cellular Automata. - Luca Mariot; Federico Mazzone (AUTOMATA, 2023)

On Maximal Families of Binary Polynomials with Pairwise Linear Common Factors. - Maximilien Gadouleau; Luca Mariot; Federico Mazzone (CoRR, 2024)

Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes. - Federico Mazzone; Ahmad Al Badawi; Yuriy Polyakov; Maarten H. Everts; Florian Hahn 001; Andreas Peter 001 (CoRR, 2024)

Efficient Ranking, Order Statistics, and Sorting under CKKS. - Federico Mazzone; Maarten H. Everts; Florian Hahn 001; Andreas Peter 001 (CoRR, 2024)

Encrypt What Matters: Selective Model Encryption for More Efficient Secure Federated Learning. - Federico Mazzone; Ahmad Al Badawi; Yuriy Polyakov; Maarten H. Everts; Florian Hahn 001; Andreas Peter 001 (DBSec, 2025)

Privacy-Preserving Vertical K-Means Clustering. - Federico Mazzone; Trevor Brown 001; Florian Kerschbaum; Kevin H. Wilson; Maarten H. Everts; Florian Hahn 001; Andreas Peter 001 (CoRR, 2025)

Self-Orthogonal Cellular Automata. - Luca Mariot; Federico Mazzone (CoRR, 2025)