Improve your company's data strategy effortlessly by integrating privacy-enhancing technologies (PETs) and overcoming internal obstacles with ease. In this session, seasoned professionals will teach you how to compare and merge PETs for unparalleled results. In this comprehensive session, you will learn how to compare PETs and explore their combinations for end-to-end implementation. Analyse the differences between PETs like FHE vs TEE or MPC vs FL to find the best option for your use case. Study factors like cost, benefit, and ROI to gain insight into the market's direction and what is needed to succeed. Enhance your expertise and take your data strategy to new heights.
Scott Getchel
Kwok Yan Lam
Professor Lam is the Associate Vice President (Strategy and Partnerships) and Professor in the School of Computer Science and Engineering at the Nanyang Technological University (NTU), Singapore. He is concurrently serving as Director of the Strategic Centre for Research in Privacy-Preserving Technologies and Systems (SCRIPTS), and Director of NTU’s SPIRIT Smart Nation Research Centre. From August 2020, Professor Lam is also serving as a Consultant to the INTERPOL. In 2018, Professor Lam founded TAU Express Pte Ltd as an NTU start-up upon successful completion of the Intelligent Case Retrieval System (ICRS) project, performed in collaboration with the Singapore Judiciary under the SPIRIT Smart Nation Research Centre. In 2012, he co-founded Soda Pte Ltd which won the Most Innovative Start Up Award at the RSA 2015 Conference. Prof Lam received his B.Sc. (First Class Honours) from the University of London in 1987 and his Ph.D. from the University of Cambridge in 1990. Professor Lam has been an active Cybersecurity researcher since 1980s. His research interests include Distributed and Intelligent Systems, Multivariate Analysis for Behavior Analytics, Cyber-Physical System Security, Distributed Protocols for Blockchain, Biometric Cryptography, Homeland Security, Cybersecurity and Privacy-Preserving Techniques.
Mark Bundgaard
Mark is the Chief Product Officer at Partisia, a pioneer and a world leader in commercial applications of Secure Multi-Party Computation (MPC). At Partisia we work on combining MPC with Blockchain technologies, aiming to set a new standard for digital infrastructures and secure privacy-preserving data sharing, private machine learning and quantum security.
Mark is a Computer Scientist from Aarhus University, Denmark and has extensive experience in cloud-native architecture, infrastructure as code, and blockchain architecture. Before his current role, he worked on various projects and functions at Toit, TDC NET, Danske Bank, and Jyllands-Posten.
