Maulik Chevli
Orcid: 0009-0000-8950-1642
According to our database1,
Maulik Chevli authored at least 8 papers
between 2023 and 2026.
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Bibliography
2026
Lungevaty: A Scalable, Open-Source Transformer-Based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy.
CoRR, 2024
Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy.
Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure.
CoRR, 2023