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Conference and Workshop Papers
- 2024
[c3]Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. ACL (Findings) 2024: 9314-9328- [c2]Stephen Meisenbacher
, Maulik Chevli, Florian Matthes:
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. IWSPA@CODASPY 2024: 23-33 - [c1]Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis:
Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure. ISBI 2024: 1-5
Informal and Other Publications
- 2024
- [i4]Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. CoRR abs/2405.01678 (2024) - [i3]Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. CoRR abs/2407.00637 (2024) - [i2]Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy. CoRR abs/2407.00638 (2024) - 2023
- [i1]Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis:
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure. CoRR abs/2307.06760 (2023)
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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