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Dr. Duan Pu
Head of Privacy-Enhancing Technologies Department
Ant International
Pu Duan is a seasoned expert with over two decades of experience in cryptography, information security, and network security. He has published more than 30 papers in these fields. After receiving his Ph.D. from Texas A&M University, he joined Cisco, where he led the development of novel cryptographic algorithms for firewall products.
In 2020, he joined Ant Group and led the open-sourcing of cryptographic protocols for SecretFlow, a leading privacy-enhancing technologies (PETs) infrastructure that supports cryptographic modules, task orchestration, and privacy-preserving computing engines. He currently serves as Head of the Privacy Enhancing Technologies Department at Ant International, where he leads the design and implementation of PETs protocols across the company’s products and solutions.
Dr. Duan has played a pivotal role in advancing the privacy capabilities of Alipay+, one of Ant International’s core businesses enabling cross-border payments. He also led his team’s participation in IMDA’s PET Sandbox, demonstrating the practical deployment of PETs in real-world business scenarios. In addition, he spearheaded the establishment and management of a joint laboratory between Ant International and NTU’s Digital Trust Centre.
Speaking At
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11:00am–12:30pmTue 17 NovPublic-Private RoundtableRoundtable Room 1Open
Sovereignty & Resilience
Trusted Data Collaboration for Safe and Resilient Financial Systems
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Dr. Duan PuHead of Privacy-Enhancing Technologies DepartmentAnt International
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Herman SchuellerDirector, Innovation & Technology Risk - SupervisionDubai Financial Services Authority
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Kenneth GayChief FinTech OfficerMonetary Authority of Singapore
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Prof. Kwok-Yan LamProfessorNanyang Technological University
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Lara DouglasDirector of ImplementationFinancial Stability Board
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Louise JohnstonDigital Assets & Blockchain, Global PolicyMastercard
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Nick SooManaging Director, Payment Products, GPS AsiaHSBC
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Dr. Pucktada TreeratpitukDirectorBank of Thailand
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Qaiser AnwarudinDirector, Payment Services Policy DepartmentBank Negara Malaysia
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Simran SinghAI Lab LeadFinancial Conduct Authority (FCA)
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Karmela HoltgreveDeputy Head & Head of OperationsBIS Innovation HubModerator
About this session
Trusted cross-border data collaboration and analytics has useful applications in payments, addressing financial crime and helping central banks and financial authorities monitor systemic risk and enhance supervision. Privacy enhancing technologies have demonstrated good potential in enabling cross-institution data collaboration while preserving privacy, confidentiality and institutional control, but have failed to scale beyond pilots. This roundtable will examine emerging privacy-preserving technology applications in the financial sector and discuss the technological, governance and policy foundations required to scale trusted data collaboration.
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1:15–2:45pmTue 17 NovPublic-Private RoundtableRoundtable Room 2Open
Global Frameworks, Interoperability & Shared Best Practices
Open Data: Fuel for Financial AI
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Adeline TungDirector, Policy & Technology, Data Innovation & Protection GroupIMDA
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Dr. Alex PalmerChief Operating OfficerDataMasque
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Dr. Duan PuHead of Privacy-Enhancing Technologies DepartmentAnt International
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Dr. Uzair JavaidChief Executive Officer & Co-founderBetterdata
About this session
While AI is creating new opportunities across financial services, its effectiveness ultimately depends on access to high-quality and trusted data. Building on emerging open data sharing initiatives across the financial sector, this roundtable will explore how financial institutions can collaborate to unlock greater value from data while preserving privacy, security, and trust. Bringing together industry leaders, technology providers, AI practitioners, and policymakers, the discussion will examine practical approaches to data sharing, privacy-enhancing technologies, common data standards, and trusted data ecosystems that can accelerate AI innovation, enable the development of more capable and reliable financial AI models, strengthen risk management, and support the next generation of AI-enabled financial services.
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