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Home/Authors/Xi Yang

Xi Yang

5 indexed papers

Recent (6 mo)
5
With code
0
Influential cites
0
Benchmarked
0

Publications per year

5
26

Top categories

Crypto×5Software Eng.×2Logic×1

Frequent co-authors

Chang Liu3×
Yangqiu Song3×
Haoran Li2×
Weiming Zhang2×
Tsun On Kwok2×
Ki Sen Hung2×

Research Timeline

2026
Optimal Circuit Synthesis of Linear Codes for Error Detection and Correction

This paper introduces a novel algorithm, CiSC, to efficiently and optimally synthesize circuit implementations of linear codes for hardware security, significantly outperforming existing state-of-the-art methods.

Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries

The paper introduces Jargon, a novel adversarial framework that exploits the vulnerability of LLMs to context-specific safety boundary blurring, achieving high attack success rates across multiple frontier models.

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities

The paper addresses the gap in understanding real-world LLM-in-the-loop vulnerabilities by creating the LLMCVE dataset and demonstrating that these vulnerabilities are significantly harder to repair than conventional software flaws.

Steering LLM Viewpoints through Fabricated Evidence Injection

This paper introduces Ghostwriter, an attack framework demonstrating that LLMs are highly vulnerable to adopting misleading viewpoints when provided with fabricated, yet credible-looking, evidence.

SentinelRAG: Synthetic Sentinel Knowledge for RAG Database Copyright Protection

SentinelRAG introduces a novel watermarking framework that embeds style-consistent, fictitious knowledge entries into RAG databases, allowing for reliable detection of unauthorized redistribution while minimizing impact on legitimate queries.

Highlighted terms show continued research focus across papers

Papers

cs.CRRecentJun 4, 2026

Steering LLM Viewpoints through Fabricated Evidence Injection

Xi Yang, Chang Liu, Zhenglin Huang, Haoran Li +3 more

This paper introduces Ghostwriter, an attack framework demonstrating that LLMs are highly vulnerable to adopting misleading viewpoints when provided with fabricated, yet credible-looking, evidence.

View →
cs.CRRecentJun 4, 2026

SentinelRAG: Synthetic Sentinel Knowledge for RAG Database Copyright Protection

Tsun On Kwok, Xi Yang, Ki Sen Hung, Chang Liu +1 more

SentinelRAG introduces a novel watermarking framework that embeds style-consistent, fictitious knowledge entries into RAG databases, allowing for reliable detection of unauthorized redistribution whil…

View →
cs.SEcs.CRRecentMay 27, 2026

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities

Yujie Ma, Jialin Rong, Chenxi Yang, Lili Quan +3 more

The paper addresses the gap in understanding real-world LLM-in-the-loop vulnerabilities by creating the LLMCVE dataset and demonstrating that these vulnerabilities are significantly harder to repair t…

View →
cs.CRRecentApr 17, 2026

Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries

Ki Sen Hung, Xi Yang, Chang Liu, Haoran Li +6 more

The paper introduces Jargon, a novel adversarial framework that exploits the vulnerability of LLMs to context-specific safety boundary blurring, achieving high attack success rates across multiple fro…

View →
cs.CRcs.LOcs.SERecentApr 4, 2026

Optimal Circuit Synthesis of Linear Codes for Error Detection and Correction

Xi Yang, Taolue Chen, Yuqi Chen, Fu Song +2 more

This paper introduces a novel algorithm, CiSC, to efficiently and optimally synthesize circuit implementations of linear codes for hardware security, significantly outperforming existing state-of-the-…

View →