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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The Case for LLM-Enhanced Backward Tracking

Jiahui Wang (Zhejiang University, Hangzhou, China), Xiangmin Shen (Hofstra University, Hempstead, NY, USA), Zhengkai Wang (Zhejiang University, Hangzhou, China), Zhenyuan Li (Zhejiang University, Hangzhou, China)

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Constructive Noise Defeats Adversarial Noise: Adversarial Example Detection for...

Meng Shen (Beijing Institute of Technology), Jiangyuan Bi (Beijing Institute of Technology), Hao Yu (National University of Defense Technology), Zhenming Bai (Beijing Institute of Technology), Wei Wang (Xi'an Jiaotong University), Liehuang Zhu (Beijing Institute of Technology)

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