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Posts by Collection
portfolio
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publications
An Improved Method to Unveil Malware’s Hidden Behavior An Improved Method to Unveil Malware’s Hidden Behavior
Published in International Conference on Information Security and Cryptology (Inscrypt), 2017
Recommended citation: Qiang Li, Yunan Zhang, Liya Su, et al. An Improved Method to Unveil Malware’s Hidden Behavior. International Conference on Information Security and Cryptology. Springer, Cham, 2017: 362-382.
Recommended citation: Qiang Li, Yunan Zhang, Liya Su, et al. An Improved Method to Unveil Malware Hidden Behavior. Inscrypt 2017: 362-382.
Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection
Published in TrustCom/BigDataSE 2018, 2018
Recommended citation: Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu. Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection[C]//2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018: 744-753. https://ieeexplore.ieee.org/document/8455976
DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic
Published in Milcom IEEE, 2018
Recommended citation: Yepeng Yao, Liya Su, Zhigang Lu: DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic[C]//2018 Milcom. IEEE, 2018: 579-584. https://ieeexplore.ieee.org/document/8599821
A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding
Published in IEEE International Symposium on Parallel Architectures, Algorithms and Networks (ISPA), 2018
Recommended citation: 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 2018: 708-715.
Recommended citation: 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 2018: 708-715.
Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection
Published in ICCS Springer, 2019
Recommended citation: Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu. Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection[C]//2019 International Conference on Computational Science. Springer, Cham, 2019: 102-115. https://link.springer.com/chapter/10.1007/978-3-030-22741-8_8
STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection
Published in TrustCom/BigDataSE IEEE, 2019
Recommended citation: Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu. STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection[C]//2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2019: 120-127. https://ieeexplore.ieee.org/document/8887381
Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection
Published in TrustCom/BigDataSE IEEE, 2019
Recommended citation: 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[C]//2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2019: 312-318. https://ieeexplore.ieee.org/abstract/document/8887382
Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications
Published in USENIX Security, 2021
Recommended citation: Liya Su, Xinyue Shen, Xiangyu Du, Xiaojing Liao, XiaoFeng Wang, Luyi Xing, Baoxu Liu. Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications[C]. USENIX Security. 2021 http://academicpages.github.io/files/evil.pdf
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
Published in arXiv, 2023
Recommended citation: Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, XiaoFeng Wang, Haixu Tang. The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks. arXiv 2023. https://arxiv.org/abs/2311.16189
talks
基于时空上下文信息的复杂恶意行为检测关键技术研究 基于时空上下文信息的复杂恶意行为检测关键技术研究
Published:
Coming soon.
Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications
Published:
I provide a talk on USENIX Security 2021 online about the paper “Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications”. Here is the talk.
teaching
Teaching experience 1 Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2 Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.