Chuen Hong LEW
Chief Executive
IMDA
Banqu
In this informative presentation, we delve into the legal aspects of Privacy-Enhancing Technologies (PETs):
Appropriateness of PETs:
Hear insights from in-house legal teams on when and where PETs are most suitable. Understand the context for implementing PETs beyond the typical privacy teams.
Framing and Implementation:
Learn how to discuss and frame PETs effectively within your organization. Explore key considerations for successful PET implementation projects from a legal perspective.
Attendees will leave equipped with practical knowledge to navigate legal complexities, enhance privacy practices, and drive effective PET adoption.
Optalysys is developing cutting edge photonic technology to directly address the processing challenges of using FHE methods at speed. We recently launched our cloud platform Explore which allows users to engage with the hardware through integrations with the main FHE libraries. Dr New will provide an update on the platform and present the Optalysys vision for the future of secure computing.
Nick New
Founder
Optalysys
Founded Optalysys in 2013 with twenty years experience in Fourier optical processing, having previously spun Cambridge Correlators Ltd. out of the University of Cambridge from technology developed during PhD in Optical Pattern Recognition.
Our presentation delves into the innovative integration of Differential Privacy (DP) and Secure Multiparty Computation (MPC) to develop advanced PETs for ad measurement. Our technology tackles the critical challenges of preserving user privacy in advertising by preventing advertisers and publishers from tracking users' activities across platforms. This approach not only safeguards user privacy but also enables valuable ad measurement insights, benefiting both advertisers and publishers.
Dr. Yongjun Zhao
Research Scientist
TikTok
Dr. Yongjun Zhao is a research scientist at TikTok working on the theories and practices of privacy-enhancing technologies. Prior to joining TikTok, he was a senior research fellow at Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS), Nanyang Technological University.
In this session we will present how Europe is currently focused on using privacy preserving measures in the healthcare industry to encrypt, protect and enable collaboration between hospitals and organizations using Multiparty Computation. In extension of that we will also present the future of data ownership, where each citizen is at the center of their own personal data, and has the power to controllably share it in a transparent and secure way across industries.
Partisia
Website: https://partisia.com/
Partisia Blockchain is the world’s first privacy based blockchain powered by Partisia’s 35 years of research and 15 years of practical implementation in multiparty computation solutions. Partisia Blockchain and Partisia together creates a unique blend of solutions that enable both public, private or a combination of both to provide a customized solution to organizations to solve for both transparency and privacy needs.
From creating new data market models, private auctions and tenders, unbiased random number generation, supply chain management, computation of private data for artificial intelligence models, and collaborative data analytics, Partisia and Partisia Blockchain can help create new business models, solve existing challenges and build new ways of establishing trust.
As the first company ever to have commercial success in implementing a multiparty computation solution and with established partnerships with corporations, NGOs and government bodies, our expertise has created new ways to establish trust and collaboration between any entities.
Please visit us at partisiablockchain.com and partisia.com
In this informative presentation, we delve into evangelizing the business case for Privacy-Enhancing Technologies (PETs) to your team:
Formulating the Business Case:
Learn effective strategies for articulating the value of PETs within your organization. Understand how to align PETs with business goals and demonstrate their impact.
Attendees will leave equipped with practical insights to advocate for PETs adoption, enhance privacy practices, and drive organizational success.
In these roundtables, we delve into the heart of the data economy, exploring individual use cases, privacy challenges, and the intersection between Privacy-Enhancing Technologies (PETs) and generative AI. Key highlights include:
1) Building an AI Toolbox : Identifying Challenges, Building Use Cases & How PETs Help Address Generative AI Concerns
2) Use Case Exploration: Identifying privacy challenges in use case, how to choose PET , PET implementation
3) Generative AI : PETs to balance innovation and privacy
Attendees will leave with actionable insights to unlock data value while safeguarding privacy through the use of PETs.
Chair
Josh Lee
Managing Director, APAC
FPF
Moderators
Richa Jain
Business Engineer
Meta
Tarun Samtani
Advisory Board Member
IAPP
“Tarun is a Privacy Leader with a background in Data Security, Privacy and Data Protection. Formerly the Global Privacy Manager for Qantas Group that includes Qantas Airlines, Jetstar Airlines and Qantas Loyalty, Tarun brings over two decades of experience working in various industries such as Healthcare, Retail, Telecoms, Leisure, Airlines, E-commerce and Banking across global organisations.
His specialisation includes operationalising Privacy, working with global Privacy legislations across 90+ countries building & leading progressive, pragmatic and sustainable Data Privacy programmes. With a strong business acumen, he has the ability to bridge the gap between technical, legal and regulatory landscapes.
Tarun currently holds various certifications in Information Security and Data Privacy (ISC2 CISSP, ISACA CISM & IAPP CIPM). He is a member, Chapter Chair and Asia Advisory Board Member for IAPP (International Association of Privacy Professionals).
Previously, he has also been the Advisory Board Member for Cybersecurity and Privacy startups. He has been interviewed by various UK publications including BBC and regularly addresses global audience at various international conferences.
He can be reached on LinkedIn – https://uk.linkedin.com/in/tsamtani”
Rishi Ganiswaran
Head of Legal (Technology) and Chief Privacy Officer
Yinson
Jerrick Lim
Senior Legal Counsel
EVYD
Jesse Schrater
Principal Engineer, Confidential Computing Practice Lead
Intel
Chi Hung Chi
Senior Principal Research Scientist
Digital Trust Centre (Singapore) and Singapore AI Safety Institute
Dr. Chi Chi Hung is currently a Senior Principal Research Scientist of Digital Trust Centre in Nanyang Technological University (NTU), Singapore. He obtained his Ph.D. degree from Purdue University, West Lafayette, U.S.A. Before he joint NTU, he has worked in industry (Philips Research and IBM Poughkeepsie), universities (Chinese University of Hong Kong, National University of Singapore, and Tsinghua University), and national research centre (CSIRO, Australia) for more than 30 years. Dr. Chi has been active in basic science research and technology development and deployment. He has published more than 300 papers in international conferences and journals, 10 edited books, and he holds 6 U.S patents. He was program/general chair of more than 16 international conferences and workshops and keynote/invited speakers for more than 30 events. Technologies he developed have also been transferred into industry successfully as startup companies. His current research areas include digital trust, security and privacy preserving, data engineering and science, knowledge modelling, behaviour and cognitive computing, artificial intelligence and machine learning, Internet-of-Things (IoT), service and cloud computing. In recent years, he has been focusing on technology research and translation into real use case solutions for economic and social problem solving.
Karen Schwenn
Senior Business Developer
Partisia
Sanjeev Gathani
Audit Partner
Curia Regis
In this enlightening panel, we explore the technical innovations that create trusted execution environments and foster data partnerships across functions, departments, and organizations, fostering a trusted and resilient data economy. Key highlights include:
Collaboration Between PETs and Confidential Computing:
Understand the need for synergy between these technologies to cater to enterprise-level adoption. Explore how PETs and confidential computing enhance data integrity and security.
Unlocking Sensitive Data Sets:
Whether dealing with personal identifiable information, health records, or financial reports, data integrity is invaluable. Discover a privacy toolkit that securely unlocks these data sets, empowering organizations to navigate privacy complexities.
Enhancing Trust and Resilience in Data Economy:
Embrace these innovations to create a stronger, transparent data ecosystem that thrives on trust and resilience.
Attendees will leave equipped with the understanding of how PETs and confidential computing go hand-in-hand and how these technologies increase data utility and data integrity, ultimately contributing to a stronger, more transparent data ecosystem that thrives on trust and resilience.
Moderator
Mike Bursell
Executive Director
Confidential Computing Consortium
Panelists
Jay Prakash
CEO and Co-Founder
Silence Laboratories
Silence Laboratories
Website: https://www.silencelaboratories.com/
Silence Laboratories, a privacy technology and infrastructure company based in Singapore, provides algorithms and product suites using distributed computation and authorization technologies, particularly multi-party computation (MPC).
Silence Laboratories (SL) boasts one of the fastest threshold signatures and authorization libraries in production, safeguarding digital assets worth billions. SL’s libraries and infrastructure enable enterprises to collaborate on data without transferring it to a trusted party, thereby opening avenues for monetization and the development of innovative products. With partners across various sectors including finance, digital assets, and data industries, SL is creating a data-sharing and computation ecosystem where consent and privacy-preserving analysis are mathematically coupled, ensuring compliance and security. SL is a preferred choice by enterprises owing to its developer-friendly libraries and application-agnostic privacy-preserving collaboration tools.
Explore the multi-faceted landscape of GenAI development and usage, what are the real user issues, privacy concerns and the transformative power of PETs. From navigating user experiences to grappling with ethical dilemmas, hear our panel illuminate the challenges inherent in GenAI and how PETs can offer a unique solution in fostering innovation while safeguarding user rights and data integrity
Moderator
Zee Kin Yeong
Chief Executive
Singapore Academy of Law
Panelists
Manprit Singh
CTO Data and AI Healthcare
Microsoft
Manprit works with Microsoft’s top customers to help them define their Data and AI strategy.
He consults in business value assessments, identifying potent use cases and creates an AI adoption roadmap and implementation architecture. By driving innovations in their entire value-chain he helps realize business value using AI.
He has 25 years of experience in applying AI in heavily regulated industries, like healthcare and financial services and specializes in helping adopt AI with agility yet responsibly.
Prior to his current position he worked for Accenture/Avanade, IBM, and Siemens Healthcare.
He also is a guest lecturer at Singapore Management University and NUS where he shares his personal industry experience in applying AI to help students have a better intuitive grasp of AI and its applications.
Christian Reimsbach-Kounatze
Information Economist and Policy Analyst
OECD
Christian Reimsbach-Kounatze is an Information Economist/Policy Analyst at the OECD Directorate for Science, Technology and Innovation (STI), where he has been working on topics related to the digital economy since 2008 and more specifically on data governance since 2010.
Since 2010, Christian has been leading OECD projects on data governance including: the OECD project on Data-driven Innovation, Enhancing Access to and Sharing of Data, and Data Portability. He is currently co-ordinating Phase III of the OECD Going Digital Project that focusses on Data Governance for Growth and Well-being, and is leading OECD work on “Emerging Privacy Enhancing Technology: Maturity, opportunities and challenges”.
Before joining the OECD, Christian worked as a researcher at the Institute for Information and Market Engineering of the Karlsruhe Institute of Technology (KIT) and at SAP Research (Germany). Christian holds a Diploma in Information Science, Engineering and Management and in Economics, both granted by the KIT.
April Chin
Managing Partner and CEO
Resaro
Jesse Schrater
Principal Engineer, Confidential Computing Practice Lead
Intel