Publications
My research focuses on developing machine learning models that prioritize data privacy while maintaining high performance. This collection includes 24 peer-reviewed publications across top conferences and journals in AI, cybersecurity, and biomedical informatics published between 2021-2025.
Federated Learning with Enhanced Privacy Guarantees in Healthcare Systems
Elias Chias (Lead), Sarah Lin, Michael Chen
Journal of Machine Learning Research
Open Access
Published: March 2025
Privacy-Preserving Federated Learning Frameworks
Elias Chias, John Doe, Alice Smith
IEEE Transactions on AI
Published: December 2024
Differential Privacy in Medical Machine Learning
Sarah Lin, Elias Chias
Nature Machine Intelligence
Published: August 2024
Secure Multi-Party Computation Approaches
Michael Chen, Elias Chias
Cryptology ePrint
Published: October 2023