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20242026
most citedDefining and Detecting the Defects of the Large Language Model-based Autonomous Agents

1 citations · 5 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CR2026

GoAT-X: A Graph of Auditing Thoughts for Securing Token Transactions in Cross-Chain Contracts

Zijun Feng, Yuming Feng, Yu Wang +4

Cross-chain bridges, the critical infrastructure of the multi-chain ecosystem, have become a primary target for attackers, resulting in over $2.8 billion in losses due to subtle im…

cs.CR2026

Defusing the Trigger: Tail-Risk-Informed Attention Rebalancing for LLM Backdoor Mitigation

Kaisheng Fan, Yishu Gao, Xunzhu Tang +2

Backdoored large language models (LLMs) exhibit attacker-specified behavior at inference time while retaining normal performance on benign inputs. Existing mitigations often requir…

cs.CR2025

One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts

Zexu Wang, Jiachi Chen, Zewei Lin +7

Smart contracts have significantly advanced blockchain technology, and digital signatures are crucial for reliable verification of contract authority. Through signature verificatio…

cs.CR2024★ 1 cited

MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code

Kaiwen Ning, Jiachi Chen, Qingyuan Zhong +8

With the advent of large language models (LLMs), numerous software service providers (SSPs) are dedicated to developing LLMs customized for code generation tasks, such as CodeLlama…

cs.CR2024

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools

Zexu Wang, Jiachi Chen, Zibin Zheng +3

Reentrancy is one of the most notorious vulnerabilities in smart contracts, resulting in significant digital asset losses. However, many previous works indicate that current Reentr…