Maulik Chevli

12 papers A* 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees.
EMNLP
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2025 J jnl
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees.
CoRR
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2025 J jnl
LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening.
CoRR
Johannes Brandt, Maulik Chevli, Rickmer Braren, Georgios Kaissis, Philip Müller, Daniel Rueckert
2025 — conf
On the Impact of Noise in Differentially Private Text Rewriting.
NAACL (Findings)
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2025 J jnl
On the Impact of Noise in Differentially Private Text Rewriting.
CoRR
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2024 — conf
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy.
IWSPA@CODASPY
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2024 J jnl
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy.
CoRR
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2024 J jnl
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy.
CoRR
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2024 — conf
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models.
ACL (Findings)
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes
2024 J jnl
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models.
CoRR
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes
2024 — conf
Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure.
ISBI
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure.
CoRR
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis