2 papers
cs.CR2026
Secure and Privacy-Preserving Vertical Federated Learning
Shan Jin, Sai Rahul Rachuri, Yizhen Wang +2
We propose a novel end-to-end privacy-preserving framework, instantiated by three efficient protocols for different deployment scenarios, covering both input and output privacy, fo…
cs.CR2026
Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
Shenao Yan, Shimaa Ahmed, Shan Jin +4
Code generation large language models (LLMs) are increasingly integrated into modern software development workflows. Recent work has shown that these models are vulnerable to backd…