4 citations · 6 across the 6 of their papers we have counts for
6 papers
Evaluating Privilege Usage of Agents with Real-World Tools
Quan Zhang, Lianhang Fu, Lvsi Lian +5
Equipping LLM agents with real-world tools can substantially improve productivity. However, granting agents autonomy over tool use also transfers the associated privileges to both…
LSPRAG: LSP-Guided RAG for Language-Agnostic Real-Time Unit Test Generation
Gwihwan Go, Quan Zhang, Chijin Zhou +2
Automated unit test generation is essential for robust software development, yet existing approaches struggle to generalize across multiple programming languages and operate within…
Inducing Vulnerable Code Generation in LLM Coding Assistants
Binqi Zeng, Quan Zhang, Chijin Zhou +3
Due to insufficient domain knowledge, LLM coding assistants often reference related solutions from the Internet to address programming problems. However, incorporating external inf…
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
Quan Zhang, Binqi Zeng, Chijin Zhou +3
Presently, with the assistance of advanced LLM application development frameworks, more and more LLM-powered applications can effortlessly augment the LLMs' knowledge with external…
When Fuzzing Meets LLMs: Challenges and Opportunities
Yu Jiang, Jie Liang, Fuchen Ma +8
Fuzzing, a widely-used technique for bug detection, has seen advancements through Large Language Models (LLMs). Despite their potential, LLMs face specific challenges in fuzzing. I…
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks
Chao Hu, Ruishi Yu, Binqi Zeng +5
Hypergraph neural networks (HGNN) have shown superior performance in various deep learning tasks, leveraging the high-order representation ability to formulate complex correlations…