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ORCIDYepeng Yao
- > Home > Persons > Yepeng Yao
Publications
- 2025
[j5]Shang Shang
, Xinqiang Zhao, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang:
Can LLMs deeply detect complex malicious queries? A framework for jailbreaking via obfuscating intent. Comput. J. 68(5): 460-478 (2025)- [c20]Chang Gao, Xinqiang Zhao, Xuren Wang, Le Wang, Zijing Fan, Yepeng Yao, Zhengwei Jiang:
A Variant and Flow-Level AutoML Method for IoT Malicious Traffic Detection. CSCWD 2025: 177-182 - [c19]Fangming Dong, Zhengwei Jiang, Chunyan Ma, Qiying He, Peian Yang, Yepeng Yao, Jian Wang:
From Threat Report to ATT&CK: Automated Extraction and Reasoning of TTPs Using Large Language Models. CSCWD 2025: 860-865 - [c18]Mengjiao Cui, Zhengwei Jiang, Yepeng Yao, Chunyan Ma, Qiying He, Peian Yang, Huamin Feng:
AGLHunter: Automated Threat Hunting Using In-Context Learning-Enhanced LLM. CSCWD 2025: 1812-1819 - 2024
- [c17]Shang Shang, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang:
IntentObfuscator: A Jailbreaking Method via Confusing LLM with Prompts. ESORICS (4) 2024: 146-165 - [i1]Shang Shang, Xinqiang Zhao, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang:
Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent. CoRR abs/2405.03654 (2024) - 2023
- [j3]Jian Liu, Qingsai Xiao, Liling Xin, Qiuyun Wang, Yepeng Yao, Zhengwei Jiang:
M3F: A novel multi-session and multi-protocol based malware traffic fingerprinting. Comput. Networks 227: 109723 (2023) - [c16]Meng Luo, Liling Xin, Yepeng Yao, Zhengwei Jiang, Qiuyun Wang, Wenchang Shi:
Who Are Querying For Me? Egress Measurement For Open DNS Resolvers. CSCWD 2023: 1544-1550 - [c15]Zijing Fan, Yepeng Yao, Yuejin Du, Xiangyu Du:
Self-paced and Reweighting PU Learning for Imbalanced Malicious Traffic Detection. GLOBECOM 2023: 6018-6023 - [c14]Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Baoxu Liu:
Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning. USENIX Security Symposium 2023: 3529-3545 - 2022
- [j2]Meng Luo, Yepeng Yao, Liling Xin, Zhengwei Jiang, Qiuyun Wang, Wenchang Shi:
Measurement for encrypted open resolvers: Applications and security. Comput. Networks 213: 109081 (2022) - [c13]Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Dongfang Zhao:
Seeing the Forest for the Trees: Understanding Security Hazards in the 3GPP Ecosystem through Intelligent Analysis on Change Requests. USENIX Security Symposium 2022: 17-34 - [c12]Jian Liu, Qingsai Xiao, Zhengwei Jiang, Yepeng Yao, Qiuyun Wang:
Effectiveness Evaluation of Evasion Attack on Encrypted Malicious Traffic Detection. WCNC 2022: 1158-1163 - 2021
- [c11]Xingran Hao, Zhengwei Jiang, Qingsai Xiao, Qiuyun Wang, Yepeng Yao, Baoxu Liu, Jian Liu:
Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data. CSCWD 2021: 384-390 - [c10]Zijian Jia, Yepeng Yao, Qiuyun Wang, Xuren Wang, Baoxu Liu, Zhengwei Jiang:
Trojan Traffic Detection Based on Meta-learning. ICCS (2) 2021: 167-180 - [c9]Yi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu, Chang Yue, Xiaozhong Liu, Kai Chen, Haixu Tang, Baoxu Liu:
Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. SP 2021: 1197-1214 - 2020
- [c8]Qingsai Xiao, Jian Liu, Qiuyun Wang, Zhengwei Jiang, Xuren Wang, Yepeng Yao:
Towards Network Anomaly Detection Using Graph Embedding. ICCS (4) 2020: 156-169 - [c7]Meng Luo, Qiuyun Wang, Yepeng Yao, Xuren Wang, Peian Yang, Zhengwei Jiang:
Towards Comprehensive Detection of DNS Tunnels. ISCC 2020: 1-7 - 2019
- [c6]Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu:
Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection. ICCS (2) 2019: 102-115 - [c5]Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu:
STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection. TrustCom/BigDataSE 2019: 120-127 - [c4]Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu:
Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection. TrustCom/BigDataSE 2019: 312-318 - 2018
- [c3]Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu:
A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 708-715 - [c2]Yepeng Yao, Liya Su, Zhigang Lu:
DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-Based Network Traffic. MILCOM 2018: 579-584 - [c1]Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu:
Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection. TrustCom/BigDataSE 2018: 744-753
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