Shaofei Li
Orcid: 0009-0001-6530-5935
According to our database1,
Shaofei Li authored at least 16 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems.
CoRR, January, 2026
KnowHow: Automatically Applying High-Level CTI Knowledge for Interpretable and Accurate Provenance Analysis.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026
2025
QianfanHuijin Technical Report: A Novel Multi-Stage Training Paradigm for Finance Industrial LLMs.
CoRR, December, 2025
ACM Trans. Softw. Eng. Methodol., November, 2025
PromoGuardian: Detecting Promotion Abuse Fraud with Multi-Relation Fused Graph Neural Networks.
CoRR, October, 2025
CoRR, September, 2025
KnowHow: Automatically Applying High-Level CTI Knowledge for Interpretable and Accurate Provenance Analysis.
CoRR, September, 2025
Query Provenance Analysis: Efficient and Robust Defense Against Query-Based Black-Box Attacks.
Proceedings of the IEEE Symposium on Security and Privacy, 2025
2024
<i>Adonis</i>: Practical and Efficient Control Flow Recovery through OS-level Traces.
ACM Trans. Softw. Eng. Methodol., January, 2024
Query Provenance Analysis for Robust and Efficient Query-based Black-box Attack Defense.
CoRR, 2024
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
2023
Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking.
Robotics Comput. Integr. Manuf., August, 2023
Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2016
Research on Virtual Simulation of Flood Propagation in Agricultural Area Under the Land Subsidence.
Proceedings of the Computer and Computing Technologies in Agriculture X, 2016
Application of GIS and Modified DRASTIC Model Based on Entropy Weight and Fuzzy Theory to Ground Water Vulnerability Evaluation.
Proceedings of the Computer and Computing Technologies in Agriculture X, 2016