Quan Zhang

24 papers A* 4A 3Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Fine-Tuning Data Recovery Attack on Generative Language Models via Backdooring.
IEEE Trans. Inf. Forensics Secur.
Zhenya Ma, Yongheng Deng, Ziqing Qiao, Quan Zhang, Chijin Zhou, Fan Wu, Yaoxue Zhang, Ju Ren
2026 J jnl
Evaluating Privilege Usage of Agents on Real-World Tools.
CoRR
Quan Zhang, Lianhang Fu, Lvsi Lian, Gwihwan Go, Yujue Wang, Chijin Zhou, Yu Jiang, Geguang Pu
2025 J jnl
Inducing Vulnerable Code Generation in LLM Coding Assistants.
CoRR
Binqi Zeng, Quan Zhang, Chijin Zhou, Gwihwan Go, Yu Jiang, Heyuan Shi
2025 A* conf
Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency.
ICSE
Chijin Zhou, Quan Zhang, Bingzhou Qian, Yu Jiang
2025 — conf
LSPAI: An IDE Plugin for LLM-Powered Multi-Language Unit Test Generation with Language Server Protocol.
SIGSOFT FSE Companion
Gwihwan Go, Chijin Zhou, Quan Zhang, Yu Jiang, Zhao Wei
2025 J jnl
LSPRAG: LSP-Guided RAG for Language-Agnostic Real-Time Unit Test Generation.
CoRR
Gwihwan Go, Quan Zhang, Chijin Zhou, Zhao Wei, Yu Jiang
2025 J jnl
Preventing Disruption of System Backup against Ransomware Attacks.
Proc. ACM Softw. Eng.
Yiwei Hou, Lihua Guo, Chijin Zhou, Quan Zhang, Wenhuan Liu, Chengnian Sun, Yu Jiang
2025 J jnl
Ransomware Detection through Temporal Correlation between Encryption and I/O Behavior.
Proc. ACM Softw. Eng.
Lihua Guo, Yiwei Hou, Chijin Zhou, Quan Zhang, Yu Jiang
2024 A* conf
Automatic Policy Synthesis and Enforcement for Protecting Untrusted Deserialization.
NDSS
Quan Zhang, Yiwen Xu, Zijing Yin, Chijin Zhou, Yu Jiang
2024 — conf
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications.
SIGSOFT FSE Companion
Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, Yu Jiang
2024 J jnl
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications.
CoRR
Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, Yu Jiang
2024 A* conf
Imperceptible Content Poisoning in LLM-Powered Applications.
ASE
Quan Zhang, Chijin Zhou, Gwihwan Go, Binqi Zeng, Heyuan Shi, Zichen Xu, Yu Jiang
2024 J jnl
PolyJuice: Detecting Mis-compilation Bugs in Tensor Compilers with Equality Saturation Based Rewriting.
Proc. ACM Program. Lang.
Chijin Zhou, Bingzhou Qian, Gwihwan Go, Quan Zhang, Shanshan Li, Yu Jiang
2024 A conf
Towards More Complete Constraints for Deep Learning Library Testing via Complementary Set Guided Refinement.
ISSTA
Gwihwan Go, Chijin Zhou, Quan Zhang, Xiazijian Zou, Heyuan Shi, Yu Jiang
2024 — conf
When Fuzzing Meets LLMs: Challenges and Opportunities.
SIGSOFT FSE Companion
Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Shanshan Li, Quan Zhang
2024 J jnl
When Fuzzing Meets LLMs: Challenges and Opportunities.
CoRR
Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Shanshan Li, Quan Zhang
2023 J jnl
Building Dynamic System Call Sandbox with Partial Order Analysis.
Proc. ACM Program. Lang.
Quan Zhang, Chijin Zhou, Yiwen Xu, Zijing Yin, Mingzhe Wang, Zhuo Su, Chengnian Sun, Yu Jiang, Jia-Guang Sun
2023 A conf
CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems.
ISSTA
Quan Zhang, Yongqiang Tian, Yifeng Ding, Shanshan Li, Chengnian Sun, Yu Jiang, Jiaguang Sun
2023 J jnl
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks.
CoRR
Chao Hu, Ruishi Yu, Binqi Zeng, Yu Zhan, Ying Fu, Quan Zhang, Rongkai Liu, Heyuan Shi
2023 A* conf
Limits of I/O Based Ransomware Detection: An Imitation Based Attack.
SP
Chijin Zhou, Lihua Guo, Yiwei Hou, Zhenya Ma, Quan Zhang, Mingzhe Wang, Zhe Liu, Yu Jiang
2023 J jnl
Towards Better Semantics Exploration for Browser Fuzzing.
Proc. ACM Program. Lang.
Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu
2022 — conf
Minerva: browser API fuzzing with dynamic mod-ref analysis.
ESEC/SIGSOFT FSE
Chijin Zhou, Quan Zhang, Mingzhe Wang, Lihua Guo, Jie Liang, Zhe Liu, Mathias Payer, Yu Jiang
2022 J jnl
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems.
IEEE Trans. Software Eng.
Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi, Yu Jiang, Jia-Guang Sun
2021 A conf
AdvDoor: adversarial backdoor attack of deep learning system.
ISSTA
Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang