Aaron Segal
PhD, Yale University 2016. Software engineer at Google NYC.
My main area of interest is cryptography, specifically secure multiparty computation and privacy-preserving protocols.
Research Areas
Authored Publications
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Google
Practical Secure Aggregation for Privacy-Preserving Machine Learning
Antonio Marcedone
Benjamin Kreuter
Sarvar Patel
Vladimir Ivanov
CCS (2017)
Practical Secure Aggregation for Federated Learning on User-Held Data
Vladimir Ivanov
Ben Kreuter
Antonio Marcedone
Sarvar Patel
NIPS Workshop on Private Multi-Party Machine Learning (2016)
