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2020 – today
- 2024
[j1]Dimitris Stripelis
, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Chrysovalantis Anastasiou, Rafael Sanchez, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
A federated learning architecture for secure and private neuroimaging analysis. Patterns 5(8): 101031 (2024)- 2023
- [c2]Tanmay Ghai, Yixiang Yao, Srivatsan Ravi:
Lessons Learned: Building a Privacy-Preserving Entity Resolution Adaptation of PPJoin using End-to-End Homomorphic Encryption. EuroS&P Workshops 2023: 117-124 - 2022
- [i4]Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
Secure Federated Learning for Neuroimaging. CoRR abs/2205.05249 (2022) - [i3]Tanmay Ghai, Yixiang Yao, Srivatsan Ravi, Pedro A. Szekely:
Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption. CoRR abs/2208.07999 (2022) - 2021
- [c1]Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely:
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. CIKM 2021: 2394-2403 - [i2]Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil J. Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. CoRR abs/2108.03437 (2021) - [i1]Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely:
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. CoRR abs/2108.09879 (2021)
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