AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. - Yixiang Yao; Tanmay Ghai; Srivatsan Ravi; Pedro A. Szekely (CIKM, 2021)

Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. - Dimitris Stripelis; Hamza Saleem; Tanmay Ghai; Nikhil J. Dhinagar; Umang Gupta; Chrysovalantis Anastasiou; Greg Ver Steeg; Srivatsan Ravi; Muhammad Naveed 001; Paul M. Thompson; José Luis Ambite (CoRR, 2021)

Secure Federated Learning for Neuroimaging. - Dimitris Stripelis; Umang Gupta; Hamza Saleem; Nikhil J. Dhinagar; Tanmay Ghai; Rafael Sanchez; Chrysovalantis Anastasiou; Armaghan Asghar; Greg Ver Steeg; Srivatsan Ravi; Muhammad Naveed 001; Paul M. Thompson; et al. (CoRR, 2022)

Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption. - Tanmay Ghai; Yixiang Yao; Srivatsan Ravi; Pedro A. Szekely (CoRR, 2022)

Lessons Learned: Building a Privacy-Preserving Entity Resolution Adaptation of PPJoin using End-to-End Homomorphic Encryption. - Tanmay Ghai; Yixiang Yao; Srivatsan Ravi (EuroS&P Workshops, 2023)

A federated learning architecture for secure and private neuroimaging analysis. - Dimitris Stripelis; Umang Gupta; Hamza Saleem; Nikhil J. Dhinagar; Tanmay Ghai; Chrysovalantis Anastasiou; Rafael Sanchez; Greg Ver Steeg; Srivatsan Ravi; Muhammad Naveed 001; Paul M. Thompson; José Luis Ambite (Patterns, 2024)