1 citations · 1 across the 5 of their papers we have counts for
Showing 2025 · cs.CRShow all
2 papers · 2 filters
cs.CR2025
Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation
Tian Li, Bo Lin, Shangwen Wang +1
Retrieval-Augmented Code Generation (RACG) is increasingly adopted to enhance Large Language Models for software development, yet its security implications remain dangerously under…
cs.CR2025
Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
Bo Lin, Shangwen Wang, Yihao Qin +2
Retrieval-Augmented Code Generation (RACG) leverages external knowledge to enhance Large Language Models (LLMs) in code synthesis, improving the functional correctness of the gener…