Embedded Files
Elaine Runting Shi is a Chinese and American computer scientist and cryptographer, whose research has included work on blockchain and smart contracts, secure distributed systems, the oblivious RAM model, and cryptographic techniques for encrypted computation. She is an associate professor of computer science at Carnegie Mellon University.
Dr. Keller is a senior research scientist at CSIRO’s Data61, a business unit of Australia’s national science agency. He is the maintainer of MP-SPDZ, a versatile framework for multi-party computation. Dr. Keller's work focuses on practical multi-party computation and its application to privacy-preserving machine learning.
Ludovic Perret is Associate Professor at Sorbonne University. His expertise is in the design, analysis and deployment of post-quantum cryptography (published more than 90 articles on these topics on major cryptographic conferences and journals). In 2018, Ludovic was awarded the Atos & Joseph Fourier first prize in the area of quantum technologies for these contributions to post-quantum cryptography.
Ludovic is a deep-tech entrepreneur, named in the top 100 of the most influential French innovators in 2022 (French’s magazine Le Point). He is committed to the standardization of post-quantum cryptography: designer of the GeMSS signature scheme selected for round-3 of the NIST post-quantum standardization process and designer of PKPDSS a post-quantum signature scheme awarded by a third prize (2020) in a post-quantum cryptography design competition organized by China.
Ludovic has a broad leadership activity in international think-tanks and standardization groups in pot-quantum cryptography : co-chair of the Quantum-Safe Security Working Group at the Cloud Security Alliance and co-chair of two new IEEE standardization groups (P1943 "Standard for Post-Quantum Network Security", and P3172 "Recommended Practice for Post-Quantum Cryptography Migration").
Dr. Jagielski is a research scientist at Google Brain, working on Andreas Terzis's team. His research is broadly at the intersection of machine learning, security, and privacy. Dr. Jagielski likes to investigate and improve the level of security and privacy offered by machine learning algorithms against real world adversaries.
Antigoni Polychroniadou
Antigoni Polychroniadou
Dr. Antigoni Polychroniadou is the head of the AlgoCRYPT Center of Excellence at J.P. Morgan Chase and the cryptography research lead at J.P. Morgan AI Research. From 2017 to 2019, she was a postdoctoral researcher in Cryptography at Cornell University and Cornell Tech. Dr. Polychroniadou received her PhD from Århus University in Denmark under Prof. Ivan Damgård. She received several awards including the junior Simons fellowship, awarded by the Simons Foundation. Dr. Polychroniadou is working on a number of tools which enable secure computation on private data. Beginning in J.P. Morgan Markets, the inaugural tools are enabling new business methods to leverage data while proving that privacy of the data is maintained.
Peter Kairouz
Peter Kairouz
Peter Kairouz is a research scientist at Google, where he leads research efforts on distributed, privacy-preserving, and robust machine learning. Prior to joining Google, he was a postdoctoral research fellow at Stanford University, and before that, he was a PhD student at the University of Illinois Urbana-Champaign (UIUC). He is the recipient of the 2012 Roberto Padovani Scholarship from Qualcomm's Research Center, the 2015 ACM SIGMETRICS Best Paper Award, the 2015 Qualcomm Innovation Fellowship Finalist Award, and the 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching from UIUC.Peter Kairouz is a research scientist at Google, where he leads research efforts on distributed, privacy-preserving, and robust machine learning. Prior to joining Google, he was a postdoctoral research fellow at Stanford University, and before that, he was a PhD student at the University of Illinois Urbana-Champaign (UIUC). He is the recipient of the 2012 Roberto Padovani Scholarship from Qualcomm's Research Center, the 2015 ACM SIGMETRICS Best Paper Award, the 2015 Qualcomm Innovation Fellowship Finalist Award, and the 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching from UIUC.
Page updated
Google Sites
Report abuse