Yepeng Yao

According to our database, Yepeng Yao authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent.

Shang Shang, Xinqiang Zhao, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang

CoRR, 2024

IntentObfuscator: A Jailbreaking Method via Confusing LLM with Prompts.

Shang Shang, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

A Bi-LSTM approach for modelling movement uncertainty of crowdsourced human trajectories under complex urban environments.

Yue Yu, Yepeng Yao, Zhewei Liu, Zhenlin An, Bi Yu Chen, Liang Chen, Ruizhi Chen

Int. J. Appl. Earth Obs. Geoinformation, August, 2023

M3F: A novel multi-session and multi-protocol based malware traffic fingerprinting.

Jian Liu, Qingsai Xiao, Liling Xin, Qiuyun Wang, Yepeng Yao, Zhengwei Jiang

Comput. Networks, May, 2023

Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning.

Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Baoxu Liu

Proceedings of the 32nd USENIX Security Symposium, 2023

Self-paced and Reweighting PU Learning for Imbalanced Malicious Traffic Detection.

Zijing Fan, Yepeng Yao, Yuejin Du, Xiangyu Du

Proceedings of the IEEE Global Communications Conference, 2023

Who Are Querying For Me? Egress Measurement For Open DNS Resolvers.

Meng Luo, Liling Xin, Yepeng Yao, Zhengwei Jiang, Qiuyun Wang, Wenchang Shi

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

Measurement for encrypted open resolvers: Applications and security.

Meng Luo, Yepeng Yao, Liling Xin, Zhengwei Jiang, Qiuyun Wang, Wenchang Shi

Comput. Networks, 2022

Effectiveness Evaluation of Evasion Attack on Encrypted Malicious Traffic Detection.

Jian Liu, Qingsai Xiao, Zhengwei Jiang, Yepeng Yao, Qiuyun Wang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Seeing the Forest for the Trees: Understanding Security Hazards in the 3GPP Ecosystem through Intelligent Analysis on Change Requests.

Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Dongfang Zhao

Proceedings of the 31st USENIX Security Symposium, 2022

2021

Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data.

Zhewei Liu, Anshu Zhang, Yepeng Yao, Wenzhong Shi, Xiao Huang, Xiaoqi Shen

Int. J. Geogr. Inf. Sci., 2021

Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis.

Yi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu, Chang Yue, Xiaozhong Liu, Kai Chen, Haixu Tang, Baoxu Liu

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Trojan Traffic Detection Based on Meta-learning.

Zijian Jia, Yepeng Yao, Qiuyun Wang, Xuren Wang, Baoxu Liu, Zhengwei Jiang

Proceedings of the Computational Science - ICCS 2021, 2021

Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data.

Xingran Hao, Zhengwei Jiang, Qingsai Xiao, Qiuyun Wang, Yepeng Yao, Baoxu Liu, Jian Liu

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020

Towards Comprehensive Detection of DNS Tunnels.

Meng Luo, Qiuyun Wang, Yepeng Yao, Xuren Wang, Peian Yang, Zhengwei Jiang

Proceedings of the IEEE Symposium on Computers and Communications, 2020

Towards Network Anomaly Detection Using Graph Embedding.

Qingsai Xiao, Jian Liu, Qiuyun Wang, Zhengwei Jiang, Xuren Wang, Yepeng Yao

Proceedings of the Computational Science - ICCS 2020, 2020

2019

STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection.

Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu

Proceedings of the 18th IEEE International Conference On Trust, 2019

Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection.

Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu

Proceedings of the 18th IEEE International Conference On Trust, 2019

Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection.

Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection.

Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu

Proceedings of the 17th IEEE International Conference On Trust, 2018

DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-Based Network Traffic.

Yepeng Yao, Liya Su, Zhigang Lu

Proceedings of the 2018 IEEE Military Communications Conference, 2018

A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding.

Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018