Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure. - Tamara T. Mueller; Maulik Chevli; Ameya Daigavane; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. - Stephen Meisenbacher; Maulik Chevli; Juraj Vladika; Florian Matthes (ACL (Findings), 2024)

1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. - Stephen Meisenbacher; Maulik Chevli; Florian Matthes (IWSPA@CODASPY, 2024)

Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure. - Tamara T. Mueller; Maulik Chevli; Ameya Daigavane; Daniel Rueckert; Georgios Kaissis (ISBI, 2024)

A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy. - Stephen Meisenbacher; Maulik Chevli; Florian Matthes (CoRR, 2024)

On the Impact of Noise in Differentially Private Text Rewriting. - Stephen Meisenbacher; Maulik Chevli; Florian Matthes (NAACL (Findings), 2025)