The symbol ^★ indicates that I am the corresponding author/co-first author.

2026

• [TDSC] LLMQTTFuzzer: Advancing MQTT Fuzzing Through Field-Semantic Exploration and Feedback-Driven Optimization
  Zehui Zhang, Futai Zou, Jiaping Gui, Yikun Hu, and Yue Wu
  IEEE Transactions on Dependable and Secure Computing (TDSC), major revision.


• [TIFS'26] RHINO: Guided Reasoning for Mapping Network Logs to Adversarial Tactics and Techniques with Large Language Models
  Fanchao Meng, Jiaping Gui^★, Yunbo Li, and Yue Wu
  IEEE Transactions on Information Forensics & Security (TIFS), 2026


• [TIFS'26] CrossHound: Multi-Source Provenance Correlation for Advanced Persistent Threat Detection and Investigation
  Jiaping Gui, Yixin Zhou, Xianggeng Zhu, Xiaohan Li, Xiaofan Xu, Cunqing Hua, and Ping Du
  IEEE Transactions on Information Forensics & Security (TIFS), 2026


• [ATC'26] STRIDE: Efficient Secure Transformer Inference via Inter-Operator Protocol and Operator Co-Design
  Zhengyi Li, Yangjie Zhou, Zihan Liu, Ziyu Xiao, Kang Yang, Jiaping Gui, Yu Feng, Yun Lin, Jin Song Dong, Yu Yu, Minyi Guo, Ning Liu, and Jingwen Leng
  Proceedings of the ACM SIGOPS Annual Technical Conference (ATC), November 2026.


• [TOSEM'26] FiCoVuL: A Framework for Fine-grained and Cross-function Code Vulnerability Detection
  Hongjun Huang, Futai Zou, Jiaping Gui, Haiyang Yu, Ping Yi, Yue Wu, and Liang Zhang
  ACM Transactions on Software Engineering and Methodology (TOSEM), 2026.


• [SC'26] FluxZK: Scalable and Efficient Zero-Knowledge Proof Computation via GPU Acceleration
  Xinwei Qiang, Liukun Yu, Xiyu Wang, Zhengyi Li, Shixuan Sun, Jingwen Leng, Chen Chen, Jiaping Gui, Zhenzhe Zheng, Jin Dong, and Minyi Guo
  Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), November 2026.


• [ACL'26] On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
  Zhengyi Li, Yakai Wang, Kang Yang, Yu Yu, Jiaping Gui^★, Yu Feng, Ning Liu, Minyi Guo, and Jingwen Leng
  Proceedings of the 64th Meeting of the Association for Computational Linguistics (ACL), July 2026.


• [DSN'26] SnipleyFuzz: Enhancing Black-Box Fuzzing of IoT Devices with Shapley-Based Priority Selection
  Yifan Yang, Futai Zou, and Jiaping Gui
  Proceedings of the 56th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), June 2026.


• [ICME'26] The Gradient-Model Dichotomy in Semi-Asynchronous Federated Learning
  Yunbo Li, Jiaping Gui^★, Yifei Xie, Cunqing Hua, and Yue Wu
  Proceedings of the 34th IEEE International Conference on Multimedia and Expo (ICME), July 2026.


• [CVPR'26] LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents
  Zihe Yan, Jiaping Gui^★, Zhuosheng Zhang, and Gongshen Liu
  Proceedings of the 43rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2026.


• [ICASSP'26] Towards Explainable Privacy Preservation in Federated Learning via Shapley Value-Guided Noise Injection
  Yunbo Li, Jiaping Gui^★, and Yue Wu
  Proceedings of the 51st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2026.


• [NDSS'26] KnowHow: Automatically Applying High-Level CTI Knowledge for Interpretable and Accurate Provenance Analysis
  Yuhan Meng, Shaofei Li, Jiaping Gui, Peng Jiang, and Ding Li
  Network and Distributed System Security Symposium (NDSS), February 2026.

2025

• [ACSAC'25] R+R: From Claims to Crashes: A Systematic Re-evaluation of Graph-Based Network Intrusion Detection Systems
  Chenglong Wang, Pujia Zheng, Jiaping Gui^★, Cunqing Hua, and Wajih Ul Hassan
  Proceedings of the 41st Annual Computer Security Applications Conference (ACSAC), December 2025.


• [NeurIPS'25] FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
  Yunbo Li, Jiaping Gui^★, Zhihang Deng, Fanchao Meng, and Yue Wu
  Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS), December 2025.


• [TIFS'25] Solving Data Contamination in DDoS Detection: A Method Based on Hierarchical Federated Learning
  Jiaping Gui, Ruiwen Ji, Haishi Huang, Jianan Hong, and Cunqing Hua
  IEEE Transactions on Information Forensics & Security (TIFS), 2025.


• [COSE'25] DISTR: Detecting Multi-Stage IoT Botnets Through Contextual Traffic and Causal Analytics
  Fanchao Meng, Jiaping Gui^★, Futai Zou, Yunbo Li, and Yue Wu
  Elsevier Journal of Computers & Security (COSE), 2025.


• [TDSC'25] ProvAudit: Enhance High-Level Privacy Inference Through System Provenance Data
  Ding Li, Jifan Xiao, Peng Jiang, Jiaping Gui^★, Dongjin Song, Yun Ma, Gang Huang, and Xuanzhe Liu
  IEEE Transactions on Dependable and Secure Computing (TDSC), 2025.


• [KDD'25] BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation
  Haiyang Yu, Tian Xie, Jiaping Gui^★, Pengyang Wang, Pengzhou Cheng, Ping Yi, and Yue Wu
  Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), August 2025.


• [INFOCOM'25] A Principled Approach for Detecting APTs in Massive Networks via Multi-Stage Causal Analytics
  Jiaping Gui, Mingjie Nie, Jinyao Guo, Futai Zou, Mati Ur Rehman, and Wajih Ul Hassan
  Proceedings of the 44th IEEE International Conference on Computer Communications (INFOCOM), May 2025.


• [Entropy'25] TSTBench: A Comprehensive Benchmark for Text Style Transfer
  Yifei Xie, Jiaping Gui, Zhengping Che, Leqian Zhu, Yahao Hu, and Zhisong Pan
  Journal of Entropy, 2025.


• [IJCNN'25] SRVul: A High-Quality Self-Restrained Vulnerable Code Dataset for Vulnerability Detection
  Hongjun Huang, Futai Zou, Jiaping Gui, Tianming Zheng, and Yue Wu
  Proceedings of the International Joint Conference on Neural Networks (IJCNN), June 2025.

2024

• [USENIX Security'24] FAMOS: Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning
  Yifeng Cai, Ziqi Zhang, Jiaping Gui, Bingyan Liu, Xiaoke Zhao, Ruoyu Li, Zhe Li, and Ding Li
  Proceedings of USENIX Security Symposium (USENIX Security), August 2024.


• [TrustCom'24] HFL-AD: A Hierarchical Federated Learning Framework for Solving Data Contamination in DDoS Detection
  Haishi Huang, Jiaping Gui^★, Jianan Hong, and Cunqing Hua
  Proceedings of the 23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), December 2024.


• [ACNS'24] ProvIoT: Detecting Stealthy Attacks in IoT through Federated Edge-Cloud Security
  Mukherjee Kunal, Joshua Wiedemeier, Qi Wang, Junpei Kamimura, John Junghwan Rhee, James Wei, Zhichun Li, Xiao Yu, Lu-An Tang, Jiaping Gui, and Kangkook Jee
  Proceedings of the 22nd International Conference on Applied Cryptography and Network Security (ACNS), March 2024.

2021 and before

• [CIKM'21] Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
  Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, and Haifeng Chen
  Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), November 2021.


• [CMC'21] A Reversible Data Hiding Algorithm Based on Image Camouflage and Bit-Plane Compression
  Jianyi Liu, Ru Zhang, Jing Li, Lei Guan, Cheng Jie, and Jiaping Gui
  Journal of Computers, Materials & Continua (CMC), 2021.


• [ACSAC'20] This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage
  Wajih UI Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Dawei Wang, Zhengzhang Chen, Zhichun Li, Junghwan Rhee, Jiaping Gui, and Adam Bates
  Proceedings of the 36th Annual Computer Security Applications Conference (ACSAC), December 2020.


• [SecureCom'20] Anomaly Detection on Web-User Behaviors through Deep Learning
  Jiaping Gui, Zhengzhang Chen, Xiao Yu, Cristian Lumezanu, and Haifeng Chen
  Proceedings of the 16th International Conference on Security and Privacy in Communication Systems (SecureCom), October 2020.


• [WWW'20] A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement
  Pengyang Wang, Jiaping Gui^★, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, and Yanjie Fu
  Proceedings of the International Conference on World Wide Web (WWW), April 2020.


• [ICDE'20] APTrace: A Responsive System for Agile Enterprise Level Causality Analysis
  Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, and Haifeng Chen
  Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), April 2020.


• [ACSAC'19] Progressive Processing of System-Behavioral Query
  Jiaping Gui, Xusheng Xiao, Ding Li, Chung Hwan Kim, and Haifeng Chen
  Proceedings of the 35th Annual Computer Security Applications Conference (ACSAC), December 2019.


• [IJCAI'19] Detecting Unknown Malicious Programs in Enterprise Systems via Attentional Heterogeneous Graph Neural Networks
  Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, and Philip Yu
  Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), August 2019.


• [ICSME'17] An Empirical Study of Local Database Usage in Android Applications [Artifacts Evaluated]
  Yingjun Lyu, Jiaping Gui^★, Mian Wan, and William G.J. Halfond
  Proceedings of the 33th International Conference on Software Maintenance and Evolution (ICSME), September 2017.


• [STVR'17] Detecting Display Energy Hotspots in Android Apps
  Mian Wan, Yuchen Jin, Ding Li, Jiaping Gui, Sonal Mahajan, and William G.J. Halfond
  Journal of Software Testing, Verification and Reliability (STVR), 2017.


• [ICSE-GREENS'16] Lightweight Measurement and Estimation of Mobile Ad Energy Consumption
  Jiaping Gui, Ding Li, Mian Wan, and William G.J. Halfond
  Proceedings of the 5th International Workshop on Green and Sustainable Software (GREENS), collocated with ICSE, May 2016.


• [ICSE'16] Automated Energy Optimization of HTTP Requests for Mobile Applications
  Ding Li, Yingjun Lyu, Jiaping Gui, and William G.J. Halfond
  Proceedings of the 38th International Conference on Software Engineering (ICSE), May 2016.


• [ICSE'15] Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers
  Jiaping Gui, Stuart Mcilroy, Meiyappan Nagappan, and William G.J. Halfond
  Proceedings of the 37th International Conference on Software Engineering (ICSE), May 2015.


• [ICSME'14]An Empirical Study of the Energy Consumption of Android Applications
  Ding Li, Shuai Hao, Jiaping Gui, and William G.J. Halfond
  Proceedings of the 30th International Conference on Software Maintenance and Evolution (ICSME), September 2014.