Liya Su

According to our database, Liya Su authored at least 13 papers between 2017 and 2025.

Collaborative distances:

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

2025

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

Comput. J., 2025

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

The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks.

Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, Zhikun Zhang, Xiaofeng Wang, Haixu Tang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks.

Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, XiaoFeng Wang, Haixu Tang

CoRR, 2023

2021

Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications.

Liya Su, Xinyue Shen, Xiangyu Du, Xiaojing Liao, XiaoFeng Wang, Luyi Xing, Baoxu Liu

Proceedings of the 30th USENIX Security Symposium, 2021

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

网络空间威胁情报共享技术综述 (Overview of Threat Intelligence Sharing Technologies in Cyberspace).

Peian Yang, Yang Wu, Liya Su, Baoxu Liu

计算机科学, 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

2017

An Improved Method to Unveil Malware's Hidden Behavior.

Qiang Li, Yunan Zhang, Liya Su, Yang Wu, Xinjian Ma, Zeming Yang

Proceedings of the Information Security and Cryptology - 13th International Conference, 2017