Unsafe deserialization turns untrusted data into attacker-controlled execution, and a single vulnerability can admit diverse exploit variants that evade defenses tailored to a known exploit. Existing defenses typically operate at a single enforcement point with limited visibility into the full attack. Combining control...
Ruo-Zhao Yang, Ming-Lang Li, Jiongchi Yu et al.· 0 citations
LLM-based multi-agent systems (LLM-MAS) use specialized agents that exchange messages to accomplish complex tasks. Their reliance on networked protocols, remote tools, and model endpoints exposes communication to message loss, delay, and context expiration. Because agents often exchange open-ended natural language, ano...
Jin-Hao Zhou, Xiao-Yue Zhang, Jiongchi Yu et al.· 0 citations
This work presents QGenome, a semantic foundation for quantum software genomics that establishes a falsifiable framework and a concrete research agenda for gene mining, lineage recovery, cross-layer regression testing and repair, and evidence-grounded quantum software agents.
Jiongchi Yu, Yue Duan, Zi-Ming Zhao et al.· 0 citations
The results show that the key to memory-augmented repair is not simply accumulating more experiences, but retrieving the right experiences for the right repair context, and that relevance, quality, and redundancy matter more than raw memory volume.
Zi-Chen Luo, Jia-Chen Guo, Wen-Jun He et al.· 0 citations
This study introduces SymTrace, a controlled evaluation framework that records the MAS execution trajectory and establishes intervention anchors and explores the effectiveness of MAS repair methods, revealing that existing unguided rerun methods are highly unreliable.
Zhong-Wen Luan, Xiaoyan Zhang, Ming Hu et al.· 2 citations
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