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Jiaping GuiAssistant ProfessorSchool of Computer Science Shanghai Jiao Tong University  800 Dongchuan RD. Minhang District, Shanghai, China jgui AT sjtu DOT edu DOT cn  My Google Scholar
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About Me
I am currently a tenure-track assistant professor at Shanghai Jiao Tong University. I received my Ph.D. in Computer Science from the University of Southern California in 2019. My research interests are in network and system security, AI in security, and software engineering, with a focus on designing a next generation of security systems using AI technology.
I am always looking for highly self-motivated PhD/master/undergraduate students (including visiting students) to work with me. Please drop me an email with your CV if you are interested.
Recent News
- (2024/08) Our paper, "KnowHow: Automatically Applying High-Level CTI Knowledge for Interpretable and Accurate Provenance Analysis," has been accepted to appear in NDSS 2026!
- (2024/07) Our paper, "Solving Data Contamination in DDoS Detection: A Method Based on Hierarchical Federated Learning," has been accepted to appear in TIFS 2025!
- (2024/05) Our paper, "TSTBench: A Comprehensive Benchmark for Text Style Transfer," has been accepted to appear in Entropy 2025!
- (2024/05) Our paper, "DISTR: Early Detection of Multi-Stage IoT Attacks Through Peer Context and Causal Analytics," has been accepted to appear in COSE 2025!
- (2024/04) Our paper, "SRVul: A High-Quality Self-Restrained Vulnerable Code Dataset for Vulnerability Detection," has been accepted to appear in IJCNN 2025!
- (2025/02) Invited to the live interview of CGTN's 'China 24' program. See the interview replay here.
- (2024/12) Our paper, "ProvAudit: Enhance High-Level Privacy Inference Through System Provenance Data," has been accepted to appear in IEEE TDSC!
- (2024/12) Our paper, "A Principled Approach for Detecting APTs in Massive Networks via Multi-Stage Causal Analytics," has been accepted to appear in INFOCOM 2025!
- (2024/11) Our paper, "BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation," has been accepted to appear in KDD 2025!
- (2024/11) Invited to the live interview of CGTN's' 'Global Business' program. See the interview replay here.
- (2024/05) Our paper, "FAMOS:Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning," has been accepted to appear in USENIX Security 2024!
- (2023/12) Our paper, "ProvIoT: Detecting Stealthy Attacks in IoT through Federated Edge-Cloud Security," has been accepted to appear in ACNS 2024!
Selected Publications (More Publications)
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Network and Distributed System Security Symposium, 2026.
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[TIFS'25] Solving Data Contamination in DDoS Detection: A Method Based on Hierarchical Federated LearningIEEE Transactions on Information Forensics & Security, 2025.
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IEEE Transactions on Dependable and Secure Computing, 2025.
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[KDD'25] BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationProceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 2025.
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[INFOCOM'25] A Principled Approach for Detecting APTs in Massive Networks via Multi-Stage Causal AnalyticsProceedings of the 44th IEEE International Conference on Computer Communications, May 2025.
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[USENIX Security'24] FAMOS:Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive LearningProceedings of USENIX Security Symposium, August 2024.
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Proceedings of the International Conference on World Wide Web, April 2020.
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Proceedings of the 36th IEEE International Conference on Data Engineering, April 2020.
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Proceedings of the 28th International Joint Conference on Artificial Intelligence, August 2019.
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Proceedings of the 38th International Conference on Software Engineering, May 2016.
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Proceedings of the 37th International Conference on Software Engineering, May 2015.
Recent Academic Services
- Journal Editorship
- Guest Editor, Journal of Information, Special Issue on Emerging Research on Neural Networks and Anomaly Detection (Volume II), 2025-2026
- Guest Editor, Journal of Information, Special Issue on Emerging Research on Neural Networks and Anomaly Detection (Volume I), 2023-2025
- Conference Program Committee
- AAAI, 2026
- ACM WWW (ACM WWW), 2025
- ACM SIGKDD (ACM KDD), 2025 (Awarded excellent reviewer recognition)
- ACM Multimedia (ACM MM), 2024
- ACM SIGSOFT International Symposium on Software Testing and Analysis - Artifact Evaluation (ISSTA - Artifact Evaluation), 2020
- ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering - Workshop on Representation Learning for Software Engineering and Program Languages (ESEC/FSE - RL+SE&PL), 2020
- Journal Reviewer
- IEEE Transactions on Information Forensics & Security (TIFS)
- IEEE Transactions on Software Engineering (TSE)
- ACM Transactions on Software Engineering and Methodology (TOSEM)
- ACM Transactions on Data Science (TDS)
- IEEE Transactions on Big Data (TBD)
- Journal of Empirical Software Engineering (EMSE)
- Journal of Software: Evolution and Process (SOFTW-EVOL)
- Journal of Sustainable Computing, Informatics and Systems (SUSCOM)