THE 3^rd INTERNATIONAL CONFERENCE ON CRYPTOGRAPHY AND INFORMATION SECURITY

– VCRIS 2026 –

October 29 - 30, 2026

Academy of Cryptography Techniques, Hanoi, Vietnam

Keynote Speakers

Associate Professor
Anupam Chattopadhyay

College of Computing and Data Science, Nanyang Technological University, Singapore

Research areas: Computing Architecture, Electronic Design Automation, AI Security, Quantum Safe Systems, Emerging Technologies

Title: The Brave New (Quantum) World

Abstract

Major advances across all the design stack of Quantum computing – algorithm, software, and hardware – has brought us to a realm where, it is impossible to ignore the effect of Quantum computing in the world around us. We will discuss two aspects of Quantum computing in this talk. First, efficient circuit design and automation challenges – and how we can borrow some knowledge from classical computing for that. We will conclude this part with case studies on experimental Quantum computers. Second, the most important practical threat from a large-scale Quantum computer is on public-key cryptography. This is countered by developing and standardizing Post-Quantum Cryptography (PQC) primitives. We will talk about various PQC candidates and the perils of migration to a Quantum-safe environment.

Bio

Anupam Chattopadhyay received his B.E. degree from Jadavpur University, India, MSc. from ALaRI, Switzerland and PhD from RWTH Aachen in 2000, 2002 and 2008 respectively. From 2008 to 2009, he worked as a Member of Consulting Staff in CoWare R&D, Noida, India. From 2010 to 2014, he led the MPSoC Architectures Research Group in RWTH Aachen, Germany as a Junior Professor. Since September 2014, Anupam was appointed as an Assistant Professor in College of Computing & Data Science, NTU, where he got promoted to Associate Professor with Tenure from August, 2019. In the past, he held visiting positions at Politecnico di Torino, Italy; EPFL, Switzerland; Technion, Israel; Kyoto University, Japan and Indian Statistical Institute, Kolkata.

Anupam currently heads a team of 20+ researchers, overseeing projects in computer architectures, security, design automation and emerging technologies. His research advances have been reported in more than 300 conference/journal papers (ACM/IEEE/Springer), multiple research monographs and edited books (CRC, Springer) and open-access forums.

Anupam regularly serves in the TPCs of top conferences (DAC, DATE, ICCAD, ASP-DAC, CHES), reviews journal/ conference articles and presented multiple invited seminars/tutorials in prestigious venues. He is an Associate Editor of IEEE TCAD, IACR CHES, ACM TECS, served as the Associate Editor of IEEE ESL, lead editor of Springer Handbook of Computer Architectures, and editor of Springer book series on Computer Architecture and Design Methodologies. He is fellow of JSPS, fellow of Intercontinental Academia, senior member of ACM and senior member of IEEE.

Awards

Nanyang Award for Innovation and Entrepreneurship, 2025.

Best Poster Award in AsiaCCS, 2025.

Best Paper Award in Cryptographic Hardware and Embedded Systems (CHES), 2025.

Best Paper Award in VLSI-SoC Conference, 2024.

ACM TODAES Distinguished Reviewer, 2022.

IEEE CEDA Distinguished Lecturer, 2022-2023.

Best Paper Award in International Conference on Security, Privacy and Applied Cryptographic Engineering (SPACE), 2020.

Nripendra Nath Biswas Special Mention Recognition in ACM/IEEE VLSI Design Conference, 2020.

Nominated for Best Paper Award in ACM/IEEE VLSI Design Conference, 2018.

Nominated for Best Interactive Presentation (IP) Award in ACM/IEEE DATE, 2016.

Recipient of Borchers’ plaque for outstanding PhD dissertation from RWTH Aachen, 2008.

Associate Professor
Hyung Tae Lee

Department of Computer Science and Engineering
Chung-Ang University
Seoul, Republic of Korea

Research areas: Cryptography, Privacy-Preserving Computation, and AI Security

Title: Private AI Beyond Encryption: What is Preserved, Released, and Verified?

Abstract:

Private AI aims to enable useful AI services without exposing sensitive data, models, or updates. Although modern cryptographic tools provide strong building blocks, the security of a deployed system depends on much more than whether its main computation is encrypted. Information may survive randomization, intermediate transcripts may reveal a richer interface than intended, and privacy may make malicious behavior harder to detect.

This talk explores these issues through recent work on private inference and federated learning, covering both attacks and defenses. It highlights three recurring questions about what is preserved, what is released, and what is verified, and uses them to connect confidentiality, integrity, verifiability, and robustness. The goal is to provide a broader perspective on private AI security and a set of practical principles for designing protocols whose real behavior matches their intended guarantees.

Bio

Hyung Tae Lee is an Associate Professor in the Department of Computer Science and Engineering at Chung-Ang University, Seoul, Republic of Korea. He received his Ph.D. in Mathematics from Seoul National University in 2013. His research interests include cryptography, privacy-preserving computation, and security and privacy for AI systems. His work has been published at international conferences including CRYPTO, ACM CCS, ASIACRYPT, CVPR, and ESORICS. His recent research focuses on secure and private AI, including private inference and privacy-preserving federated learning. He has also served on the program committees of various international conferences, including ASIACRYPT, CT-RSA, ACISP, and VCRIS.