Publications

2025

  1. ICSE’25
    Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency
    Chijin Zhou, Quan Zhang, Bingzhou Qian, and Yu Jiang
    In IEEE/ACM International Conference on Software Engineering, 2025
  2. FSE’25
    Ransomware Detection Through Temporal Correlation Between Encryption and I/O Behavior
    Lihua Guo, Yiwei Hou, Chijin Zhou, Quan Zhang, and Yu Jiang
    In ACM International Conference on the Foundations of Software Engineering, 2025
  3. ISSTA’25
    Preventing Disruption of System Backup Against Ransomware Attacks
    Yiwei Hou, Lihua Guo, Chijin Zhou, Quan Zhang, Wenhuan Liu, Chengnian Sun, and Yu Jiang
    In ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025
  4. FSE-Industry’25
    LSPAI: An IDE Plugin for LLM-Powered Multi-Language Unit Test Generation with Language Server Protocol
    Gwihwan Go, Chijin Zhou, Quan Zhang, Yu Jiang, and Zhao Wei
    In Companion Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

2024

  1. OOPSLA’24
    PolyJuice: Detecting Mis-Compilation Bugs in Tensor Compilers with Equality Saturation Based Rewriting
    Chijin Zhou, Bingzhou Qian, Gwihwan Go, Quan Zhang, Shanshan Li, and Yu Jiang
    Proc. ACM Program. Lang., 2024
  2. USENIX Security’24
    Data Coverage for Guided Fuzzing
    Mingzhe Wang, Jie Liang, Chijin Zhou, Zhiyong Wu, Jingzhou Fu, Zhuo Su, Qing Liao, Bin Gu, Bodong Wu, and Yu Jiang
    In USENIX Security Symposium, 2024

    USENIX Security Distinguished Paper Award

  3. NDSS’24
    Automatic Policy Synthesis and Enforcement for Protecting Untrusted Deserialization
    Quan Zhang, Yiwen Xu, Zijing Yin, Chijin Zhou, and Yu Jiang
    In Network and Distributed System Security Symposium, 2024
  4. ICSE’24
    An Empirical Study of Data Disruption by Ransomware Attacks
    Yiwei Hou, Lihua Guo, Chijin Zhou, Yiwen Xu, Zijing Yin, Shanshan Li, Chengnian Sun, and Yu Jiang
    In IEEE/ACM International Conference on Software Engineering, 2024
  5. ASE’24
    Imperceptible Content Poisoning in LLM-Powered Applications
    Quan Zhang, Chijin Zhou, Gwihwan Go, Binqi Zeng, Heyuan Shi, Zichen Xu, and Yu Jiang
    In IEEE/ACM International Conference on Automated Software Engineering, 2024
  6. ISSTA’24
    Towards More Complete Constraints for Deep Learning Library Testing via Complementary Set Guided Refinement
    Gwihwan Go, Chijin Zhou, Quan Zhang, Xiazijian Zou, Heyuan Shi, and Yu Jiang
    In ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024
  7. FSE-Industry’24
    Dodrio: Parallelizing Taint Analysis Based Fuzzing via Redundancy-Free Scheduling
    Jie Liang, Mingzhe Wang, Chijin Zhou, Zhiyong Wu, Jianzhong Liu, and Yu Jiang
    In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
  8. FSE-IVR’24
    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, and Quan Zhang
    In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
  9. FSE-IVR’24
    Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
    Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, and Yu Jiang
    In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

2023

  1. S&P’23
    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, and Yu Jiang
    In IEEE Symposium on Security and Privacy, 2023
  2. OOPSLA’23
    Towards Better Semantics Exploration for Browser Fuzzing
    Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, and Bin Gu
    Proc. ACM Program. Lang., 2023
  3. OOPSLA’23
    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, and Jia-Guang Sun
    Proc. ACM Program. Lang., 2023
  4. ICSE-SEIP’23
    Daisy: Effective Fuzz Driver Synthesis with Object Usage Sequence Analysis
    Mingrui Zhang, Chijin Zhou, Jianzhong Liu, Mingzhe Wang, Jie Liang, Juan Zhu, and Yu Jiang
    In IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022

  1. ESEC/FSE’22
    Minerva: browser API fuzzing with dynamic mod-ref analysis
    Chijin Zhou, Quan Zhang, Mingzhe Wang, Lihua Guo, Jie Liang, Zhe Liu, Mathias Payer, and Yu Jiang
    In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

    ACM SIGSOFT Distinguished Paper Award

  2. S&P’22
    PATA: Fuzzing with Path Aware Taint Analysis
    Jie Liang, Mingzhe Wang, Chijin Zhou, Zhiyong Wu, Yu Jiang, Jianzhong Liu, Zhe Liu, and Jiaguang Sun
    In IEEE Symposium on Security and Privacy, 2022
  3. PLDI’22
    Odin: on-demand instrumentation with on-the-fly recompilation
    Mingzhe Wang, Jie Liang, Chijin Zhou, Zhiyong Wu, Xinyi Xu, and Yu Jiang
    In ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2022
  4. ASE’22
    Empirical Study of System Resources Abused by IoT Attackers
    Zijing Yin, Yiwen Xu, Chijin Zhou, and Yu Jiang
    In IEEE/ACM International Conference on Automated Software Engineering, 2022
  5. ISSTA’22
    Unicorn: detect runtime errors in time-series databases with hybrid input synthesis
    Zhiyong Wu, Jie Liang, Mingzhe Wang, Chijin Zhou, and Yu Jiang
    In ACM SIGSOFT International Symposium on Software Testing and Analysis, 2022

2021

  1. ATC’21
    RIFF: Reduced Instruction Footprint for Coverage-Guided Fuzzing
    Mingzhe Wang, Jie Liang, Chijin Zhou, Yu Jiang, Rui Wang, Chengnian Sun, and Jiaguang Sun
    In the 2021 USENIX Annual Technical Conference, 2021
  2. ICSE-SEIP’21
    Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing
    Mingzhe Wang, Zhiyong Wu, Xinyi Xu, Jie Liang, Chijin Zhou, Huafeng Zhang, and Yu Jiang
    In IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021
  3. ICST’21
    Industrial Oriented Evaluation of Fuzzing Techniques
    Mingzhe Wang, Jie Liang, Chijin Zhou, Yuanliang Chen, Zhiyong Wu, and Yu Jiang
    In IEEE Conference on Software Testing, Verification and Validation, 2021

2020

  1. ASE’20
    Zeror: Speed Up Fuzzing with Coverage-sensitive Tracing and Scheduling
    Chijin Zhou, Mingzhe Wang, Jie Liang, Zhe Liu, and Yu Jiang
    In IEEE/ACM International Conference on Automated Software Engineering, 2020

2019

  1. USENIX Security’19
    EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers
    Yuanliang Chen, Yu Jiang, Fuchen Ma, Jie Liang, Mingzhe Wang, Chijin Zhou, Xun Jiao, and Zhuo Su
    In USENIX Security Symposium, 2019
  2. ASE’19 Demo
    VisFuzz: Understanding and Intervening Fuzzing with Interactive Visualization
    Chijin Zhou, Mingzhe Wang, Jie Liang, Zhe Liu, Chengnian Sun, and Yu Jiang
    In IEEE/ACM International Conference on Automated Software Engineering, 2019

2018

  1. ESEC/FSE’18
    PAFL: extend fuzzing optimizations of single mode to industrial parallel mode
    Jie Liang, Yu Jiang, Yuanliang Chen, Mingzhe Wang, Chijin Zhou, and Jiaguang Sun
    In ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018