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Home/Authors/Shan Jin

Shan Jin

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2AI×2Distributed×1Software Eng.×1

Frequent co-authors

Yizhen Wang2×
Yiwei Cai2×
Sai Rahul Rachuri1×
Anderson C. A. Nascimento1×
Shenao Yan1×
Shimaa Ahmed1×

Research Timeline

2026
Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning

The paper introduces CodeScan, a novel black-box framework that detects data poisoning in code generation LLMs by analyzing structural similarities across multiple generations to identify recurring, vulnerable code structures.

Secure and Privacy-Preserving Vertical Federated Learning

The paper proposes an optimized, end-to-end privacy-preserving framework for vertical federated learning by distributing aggregation roles across multiple servers using secure multiparty computation and differential privacy.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIcs.DCRecentApr 15, 2026

Secure and Privacy-Preserving Vertical Federated Learning

Shan Jin, Sai Rahul Rachuri, Yizhen Wang, Anderson C. A. Nascimento +1 more

The paper proposes an optimized, end-to-end privacy-preserving framework for vertical federated learning by distributing aggregation roles across multiple servers using secure multiparty computation a…

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cs.CRcs.AIcs.SERecentMar 17, 2026

Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning

Shenao Yan, Shimaa Ahmed, Shan Jin, Sunpreet S. Arora +3 more

The paper introduces CodeScan, a novel black-box framework that detects data poisoning in code generation LLMs by analyzing structural similarities across multiple generations to identify recurring, v…

View →