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Jun ZENG
Jun ZENG
Verifierad e-postadress på comp.nus.edu.sg - Startsida
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WATSON: Abstracting Behaviors from Audit Logs via Aggregation of Contextual Semantics
J Zeng, ZL Chua, Y Chen, K Ji, Z Liang, J Mao
Network and Distributed Systems Security Symposium (NDSS), 2021
662021
AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports
Z Li, J Zeng, Y Chen, Z Liang
European Symposium on Research in Computer Security (ESORICS), 2022
512022
SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records
J Zeng, X Wang, J Liu, Y Chen, Z Liang, TS Chua, ZL Chua
2022 IEEE Symposium on Security and Privacy (SP), 1567-1567, 2022
482022
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents
Y Chen, H Xie, M Ma, Y Kang, X Gao, L Shi, Y Cao, X Gao, H Fan, M Wen, ...
arXiv preprint arXiv:2305.15778, 2023
152023
TeLL: Log Level Suggestions via Modeling Multi-level Code Block Information
J Liu, J Zeng, X Wang, K Ji, Z Liang
ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
112022
Enhancing SSD performance with LDPC-aware garbage collection
Y Du, Y Jia, M Zhang, J Zeng, CJ Xue
2017 IEEE 6th Non-Volatile Memory Systems and Applications Symposium (NVMSA …, 2017
102017
PalanTír: Optimizing Attack Provenance with Hardware-enhanced System Observability
J Zeng, C Zhang, Z Liang
ACM Conference on Computer and Communications Security (CCS), 2022
42022
{FlowMatrix}:{GPU-Assisted}{Information-Flow} Analysis through {Matrix-Based} Representation
K Ji, J Zeng, Y Jiang, Z Liang, ZL Chua, P Saxena, A Roychoudhury
31st USENIX Security Symposium (USENIX Security 22), 2567-2584, 2022
42022
Learning Graph-based Code Representations for Source-level Functional Similarity Detection
J Liu, J Zeng, X Wang, Z Liang
45th International Conference on Software Engineering (ICSE), 2023
32023
Poster: Towards Automated and Large-scale Cyber Attack Reconstruction with APT Reports
Z Li, A Soltani, A Yusof, AC Risdianto, K Huang, J Zeng, Z Liang, Y Chen
Network and Distributed Systems Security Symposium (NDSS), 0
1
Unraveling the Key of Machine Learning Solutions for Android Malware Detection
J Liu, J Zeng, F Pierazzi, L Cavallaro, Z Liang
arXiv preprint arXiv:2402.02953, 2024
2024
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Artiklar 1–11