Quan Zhang

According to our database, Quan Zhang authored at least 26 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Evaluating Privilege Usage of Agents on Real-World Tools.

Quan Zhang, Lianhang Fu, Lvsi Lian, Gwihwan Go, Yujue Wang, Chijin Zhou, Yu Jiang, Geguang Pu

CoRR, March, 2026

A Fine-Tuning Data Recovery Attack on Generative Language Models via Backdooring.

Zhenya Ma, Yongheng Deng, Ziqing Qiao, Quan Zhang, Chijin Zhou, Fan Wu, Yaoxue Zhang, Ju Ren

IEEE Trans. Inf. Forensics Secur., 2026

2025

LSPRAG: LSP-Guided RAG for Language-Agnostic Real-Time Unit Test Generation.

Gwihwan Go, Quan Zhang, Chijin Zhou, Zhao Wei, Yu Jiang

CoRR, October, 2025

Inducing Vulnerable Code Generation in LLM Coding Assistants.

Binqi Zeng, Quan Zhang, Chijin Zhou, Gwihwan Go, Yu Jiang, Heyuan Shi

CoRR, April, 2025

Preventing Disruption of System Backup against Ransomware Attacks.

Yiwei Hou, Lihua Guo, Chijin Zhou, Quan Zhang, Wenhuan Liu, Chengnian Sun, Yu Jiang

Proc. ACM Softw. Eng., 2025

Ransomware Detection through Temporal Correlation between Encryption and I/O Behavior.

Lihua Guo, Yiwei Hou, Chijin Zhou, Quan Zhang, Yu Jiang

Proc. ACM Softw. Eng., 2025

LSPAI: An IDE Plugin for LLM-Powered Multi-Language Unit Test Generation with Language Server Protocol.

Gwihwan Go, Chijin Zhou, Quan Zhang, Yu Jiang, Zhao Wei

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency.

Chijin Zhou, Quan Zhang, Bingzhou Qian, Yu Jiang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

Imperceptible Content Poisoning in LLM-Powered Applications.

Quan Zhang

Dataset, August, 2024

Imperceptible Content Poisoning in LLM-Powered Applications.

Quan Zhang

Dataset, August, 2024

Imperceptible Content Poisoning in LLM-Powered Applications.

Quan Zhang

Dataset, August, 2024

Imperceptible Content Poisoning in LLM-Powered Applications.

Quan Zhang

Dataset, August, 2024

PolyJuice: Detecting Mis-compilation Bugs in Tensor Compilers with Equality Saturation Based Rewriting.

Chijin Zhou, Bingzhou Qian, Gwihwan Go, Quan Zhang, Shanshan Li, Yu Jiang

Proc. ACM Program. Lang., 2024

Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications.

Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, Yu Jiang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

When Fuzzing Meets LLMs: Challenges and Opportunities.

Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Shanshan Li, Quan Zhang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Automatic Policy Synthesis and Enforcement for Protecting Untrusted Deserialization.

Quan Zhang, Yiwen Xu, Zijing Yin, Chijin Zhou, Yu Jiang

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Imperceptible Content Poisoning in LLM-Powered Applications.

Quan Zhang, Chijin Zhou, Gwihwan Go, Binqi Zeng, Heyuan Shi, Zichen Xu, Yu Jiang

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Towards More Complete Constraints for Deep Learning Library Testing via Complementary Set Guided Refinement.

Gwihwan Go, Chijin Zhou, Quan Zhang, Xiazijian Zou, Heyuan Shi, Yu Jiang

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

Towards Better Semantics Exploration for Browser Fuzzing.

Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu

Proc. ACM Program. Lang., October, 2023

Building Dynamic System Call Sandbox with Partial Order Analysis.

Quan Zhang, Chijin Zhou, Yiwen Xu, Zijing Yin, Mingzhe Wang, Zhuo Su, Chengnian Sun, Yu Jiang, Jia-Guang Sun

Proc. ACM Program. Lang., October, 2023

HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks.

Chao Hu, Ruishi Yu, Binqi Zeng, Yu Zhan, Ying Fu, Quan Zhang, Rongkai Liu, Heyuan Shi

CoRR, 2023

Limits of I/O Based Ransomware Detection: An Imitation Based Attack.

Chijin Zhou, Lihua Guo, Yiwei Hou, Zhenya Ma, Quan Zhang, Mingzhe Wang, Zhe Liu, Yu Jiang

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems.

Quan Zhang, Yongqiang Tian, Yifeng Ding, Shanshan Li, Chengnian Sun, Yu Jiang, Jiaguang Sun

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems.

Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi, Yu Jiang, Jia-Guang Sun

IEEE Trans. Software Eng., 2022

Minerva: browser API fuzzing with dynamic mod-ref analysis.

Chijin Zhou, Quan Zhang, Mingzhe Wang, Lihua Guo, Jie Liang, Zhe Liu, Mathias Payer, Yu Jiang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021

AdvDoor: adversarial backdoor attack of deep learning system.

Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021