New Primitives for Actively-Secure MPC over Rings with Applications to Private Machine Learning
Damgard, Ivan, Escudero, Daniel, Frederiksen, Tore, Keller, Marcel, Scholl, Peter, Volgushev, Nikolaj
Published in 2019 IEEE Symposium on Security and Privacy (SP) (01.05.2019)
Published in 2019 IEEE Symposium on Security and Privacy (SP) (01.05.2019)
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Conference Proceeding
Secure training of decision trees with continuous attributes
Abspoel, Mark, Escudero, Daniel, Volgushev, Nikolaj
Published in Proceedings on Privacy Enhancing Technologies (01.01.2021)
Published in Proceedings on Privacy Enhancing Technologies (01.01.2021)
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Journal Article
Secure MPC for Analytics as a Web Application
Lapets, Andrei, Volgushev, Nikolaj, Bestavros, Azer, Jansen, Frederick, Varia, Mayank
Published in 2016 IEEE Cybersecurity Development (SecDev) (01.11.2016)
Published in 2016 IEEE Cybersecurity Development (SecDev) (01.11.2016)
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Conference Proceeding
Conclave: secure multi-party computation on big data (extended TR)
Volgushev, Nikolaj, Schwarzkopf, Malte, Getchell, Ben, Varia, Mayank, Lapets, Andrei, Bestavros, Azer
Published in arXiv.org (17.02.2019)
Published in arXiv.org (17.02.2019)
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Paper
Journal Article
Scalable Secure Multi-party Network Vulnerability Analysis via Symbolic Optimization
Albab, Kinan Dak, Issa, Rawane, Lapets, Andrei, Bestavros, Azer, Volgushev, Nikolaj
Published in 2017 IEEE Security and Privacy Workshops (SPW) (01.05.2017)
Published in 2017 IEEE Security and Privacy Workshops (SPW) (01.05.2017)
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Conference Proceeding