Yue Huang (Tsinghua University), Xin Wang (Tsinghua University and State Key Laboratory of Cryptography and Digital Economy Security), Haibin Zhang (Yangtze Delta Region Institute of Tsinghua University, Zhejiang), Sisi Duan (Tsinghua University, Zhongguancun Laboratory, Shandong Institute of Blockchains and State Key Laboratory of Cryptography and Digital Economy Security)

Conventional Byzantine fault-tolerant protocols focus on the workflow within a group of nodes. In recent years, many applications of consensus involve communication across groups. Examples include communication between infrastructures running replicated state machine, sharding-based protocols, and cross-chain bridges. Unfortunately, little effort has been made to model the properties for communication across groups.

In this work, we propose a new primitive called cross-consensus reliable broadcast (XRBC). The XRBC primitive models the security properties of communication between two groups, where at least one group executes a consensus protocol. We provide three constructions of XRBC under varying assumptions and present three applications for our XRBC protocols: a cross-shard coordination protocol via a case study of Reticulum (NDSS 2024), a protocol for cross-shard transactions via a case study of Chainspace (NDSS 2018), and a solution for cross-chain bridge. Our evaluation results show that our protocols are highly efficient and benefit different applications. For example, in our case study on Reticulum, our approach achieves 61.16% lower latency than the vanilla approach.

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PROMPTGUARD: Zero Trust Prompting for Securing LLM-Driven O-RAN Control

Yuhui Wang (Department of Electrical and Computer Engineering, University of Michigan-Dearborn), Xingqi Wu (Department of Electrical and Computer Engineering, University of Michigan-Dearborn), Junaid Farooq (Department of Electrical and Computer Engineering, University of Michigan-Dearborn), Juntao Chen (Department of Computer and Information Sciences, Fordham University)

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Unshaken by Weak Embedding: Robust Probabilistic Watermarking for Dataset...

Shang Wang (University of Technology Sydney, Australia), Tianqing Zhu (City University of Macau, Macau SAR, China), Dayong Ye (City University of Macau, Macau SAR, China), Hua Ma (Data61, CSIRO, Australia), Bo Liu (University of Technology Sydney, Australia), Ming Ding (Data61, CSIRO, Australia), Shengfang Zhai (National University of Singapore, Singapore), Yansong Gao (School of Cyber Science…

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Binary Analysis: An AI Success Story

Perri Adams, Dartmouth College ISTS Fellow & John Hopkins SAIS Adjunct Professor

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