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ORCIDQuan Zhang 0003
Person information
- affiliation: East China Normal University, Software Engineering Institute, Shanghai, China
- affiliation (2020 - 2025): Tsinghua University, School of Software, Beijing, China
Other persons with the same name
- Quan Zhang — disambiguation page
- Quan Zhang 0001
![[0000-0001-5201-2300]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5201-2300")
— Wayne State University, Department of Computer Science, Detroit, MI, USA - Quan Zhang 0002 — North University of China, School of Information and Communication Engineering, Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, Taiyuan, China (and 1 more)
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2020 – today
- 2025
[j6]Lihua Guo, Yiwei Hou, Chijin Zhou, Quan Zhang, Yu Jiang:
Ransomware Detection through Temporal Correlation between Encryption and I/O Behavior. Proc. ACM Softw. Eng. 2(FSE): 197-218 (2025)- [j5]Yiwei Hou, Lihua Guo, Chijin Zhou, Quan Zhang, Wenhuan Liu, Chengnian Sun, Yu Jiang:
Preventing Disruption of System Backup against Ransomware Attacks. Proc. ACM Softw. Eng. 2(ISSTA): 229-249 (2025) - [c11]Chijin Zhou, Quan Zhang, Bingzhou Qian, Yu Jiang:
Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency. ICSE 2025: 2702-2713 - [c10]Gwihwan Go, Chijin Zhou, Quan Zhang, Yu Jiang, Zhao Wei:
LSPAI: An IDE Plugin for LLM-Powered Multi-Language Unit Test Generation with Language Server Protocol. SIGSOFT FSE Companion 2025: 144-149 - [i5]Binqi Zeng, Quan Zhang, Chijin Zhou, Gwihwan Go, Yu Jiang, Heyuan Shi:
Inducing Vulnerable Code Generation in LLM Coding Assistants. CoRR abs/2504.15867 (2025) - [i4]Gwihwan Go, Quan Zhang, Chijin Zhou, Zhao Wei, Yu Jiang:
LSPRAG: LSP-Guided RAG for Language-Agnostic Real-Time Unit Test Generation. CoRR abs/2510.22210 (2025) - 2024
- [j4]Chijin Zhou, Bingzhou Qian, Gwihwan Go, Quan Zhang, Shanshan Li, Yu Jiang:
PolyJuice: Detecting Mis-compilation Bugs in Tensor Compilers with Equality Saturation Based Rewriting. Proc. ACM Program. Lang. 8(OOPSLA2): 1309-1335 (2024) - [c9]Gwihwan Go, Chijin Zhou, Quan Zhang, Xiazijian Zou, Heyuan Shi, Yu Jiang:
Towards More Complete Constraints for Deep Learning Library Testing via Complementary Set Guided Refinement. ISSTA 2024: 1338-1350 - [c8]Quan Zhang, Chijin Zhou, Gwihwan Go, Binqi Zeng, Heyuan Shi, Zichen Xu, Yu Jiang:
Imperceptible Content Poisoning in LLM-Powered Applications. ASE 2024: 242-254 - [c7]Quan Zhang, Yiwen Xu, Zijing Yin, Chijin Zhou, Yu Jiang:
Automatic Policy Synthesis and Enforcement for Protecting Untrusted Deserialization. NDSS 2024 - [c6]Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Shanshan Li, Quan Zhang:
When Fuzzing Meets LLMs: Challenges and Opportunities. SIGSOFT FSE Companion 2024: 492-496 - [c5]Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, Yu Jiang:
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications. SIGSOFT FSE Companion 2024: 502-506 - [d4]Quan Zhang:
Imperceptible Content Poisoning in LLM-Powered Applications. Version 1. Zenodo, 2024 [all versions]
- [d3]Quan Zhang:
Imperceptible Content Poisoning in LLM-Powered Applications. Version 2. Zenodo, 2024 [all versions] - [d2]Quan Zhang:
Imperceptible Content Poisoning in LLM-Powered Applications. Version 3. Zenodo, 2024 [all versions] - [d1]Quan Zhang:
Imperceptible Content Poisoning in LLM-Powered Applications. Version 4. Zenodo, 2024 [all versions] - [i3]Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, ShanShan Li, Quan Zhang:
When Fuzzing Meets LLMs: Challenges and Opportunities. CoRR abs/2404.16297 (2024) - [i2]Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, Yu Jiang:
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications. CoRR abs/2404.17196 (2024) - 2023
- [j3]Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu:
Towards Better Semantics Exploration for Browser Fuzzing. Proc. ACM Program. Lang. 7(OOPSLA2): 604-631 (2023) - [j2]Quan Zhang, Chijin Zhou, Yiwen Xu, Zijing Yin, Mingzhe Wang, Zhuo Su, Chengnian Sun, Yu Jiang, Jia-Guang Sun:
Building Dynamic System Call Sandbox with Partial Order Analysis. Proc. ACM Program. Lang. 7(OOPSLA2): 1253-1280 (2023) - [c4]Quan Zhang, Yongqiang Tian, Yifeng Ding, Shanshan Li, Chengnian Sun, Yu Jiang, Jiaguang Sun:
CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems. ISSTA 2023: 753-765 - [c3]Chijin Zhou, Lihua Guo, Yiwei Hou, Zhenya Ma, Quan Zhang, Mingzhe Wang, Zhe Liu, Yu Jiang:
Limits of I/O Based Ransomware Detection: An Imitation Based Attack. SP 2023: 2584-2601 - [i1]Chao Hu, Ruishi Yu, Binqi Zeng, Yu Zhan, Ying Fu, Quan Zhang, Rongkai Liu, Heyuan Shi:
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks. CoRR abs/2302.12407 (2023) - 2022
- [j1]Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi, Yu Jiang, Jia-Guang Sun:
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems. IEEE Trans. Software Eng. 48(10): 4167-4180 (2022) - [c2]Chijin Zhou, Quan Zhang, Mingzhe Wang, Lihua Guo, Jie Liang, Zhe Liu, Mathias Payer, Yu Jiang:
Minerva: browser API fuzzing with dynamic mod-ref analysis. ESEC/SIGSOFT FSE 2022: 1135-1147 - 2021
- [c1]Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang:
AdvDoor: adversarial backdoor attack of deep learning system. ISSTA 2021: 127-138
Coauthor Index
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