WELCOME TO AIBlock 2025

The 7th International Conference on Application Intelligence and Blockchain Security (AIBlock 2025)

Keynote 1: Dr Haiyang Xue
https://faculty.smu.edu.sg/profile/xue-haiyang-7846

Title: Threshold Cryptography and Its Application in Blockchain

Abstract: Threshold cryptography enhances security by distributing cryptographic operations among multiple parties, eliminating single points of failure. In this talk, I will introduce the fundamentals of threshold cryptography with a focus on threshold ECDSA, and discuss its applications in Blockchain. I will also mention emerging directions in post-quantum threshold schemes and highlight NIST’s ongoing efforts to standardize Multiparty Threshold Cryptography.

Bio: Haiyang Xue is an Assistant Professor of Computer Science at the School of Computing and Information Systems, Singapore Management University. His research focuses on cryptography and its real-world applications to address cybersecurity challenges. His interests include post-quantum cryptography, threshold cryptography, zero-knowledge proofs, and secure multi-party computation. He has published in top-tier venues such as ASIACRYPT, ACM CCS, IEEE S&P, and USENIX Security.



Keynote 2: Dr Yuan Lu
https://yylluu.github.io/

Title: Secure Distributed Computing on the Internet

Abstract: In the asynchronous environment such as the Internet, open peer-to-peer protocols must tolerate unpredictable delays and adversarial participants without relying on timing guarantees. This makes the design of secure distributed computing protocols in the asynchronous settings significantly more challenging. This talk will present recent progress toward building secure and reliable distributed computing systems under fully asynchronous network conditions. It will first discuss recent advances in asynchronous Byzantine consensus, such as the Dumbo family protocols that strive to offer practical performance while maintaining strong security guarantees. These results are particularly relevant to blockchain systems, where security must be maintained even under adversarial network scheduling. Next, it will introduce a recent practical design of fully asynchronous secure multi-party computation (AMPC) protocols that enable jointly computing over private inputs with guaranteed output delivery, even in the presence of an adversarial network environment. Together, these components form the foundation for constructing privacy-preserving and resilient blockchain systems, supporting privacy-preserving smart contracts and robuster decentralized services.

Bio: Dr. Yuan Lu is an associate professor and blockchain researcher at the Institute of Software, Chinese Academy of Sciences. He has a broad spectrum of interests in blockchain consensus, decentralized applications, and the design and analysis of multi-party cryptographic protocols. Many of his research results are published in top-tier security and distributed computing conferences, such as PODC, CCS, USENIX Security, and NDSS, and won the most promising paper award of the 2025 edition of Crypto Valley Conference. His research was generously supported by Ethereum foundation, NSF of China, MOST of China, JD.com, and Chinese Academy of Sciences.