Xiaolei Liu

According to our database, Xiaolei Liu authored at least 41 papers between 2016 and 2026.

Collaborative distances:

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

2026

Adversarial Sample Based on Structured Fusion Noise for Botnet Detection in Industrial Control Systems.

Jiazhong Lu, Jimin Peng, Jian Shu, Jia-Li Yin, Xiaolei Liu

IEEE Trans. Netw. Serv. Manag., 2026

SEADGAT: A Heterogeneous Graph Attention Network With Cross-Distillation for Encrypted Traffic Classification.

Jiazhong Lu, Kun Yu, Yuanyuan Huang, Zhitan Wei, Jia-Li Yin, Xiaolei Liu

IEEE Internet Things J., 2026

CLlog: A collaborative learning-based anomalous log detection model.

Jiazhong Lu, Kun Yu, Zhiquan Liu, Xiaolei Liu

Comput. Networks, 2026

2025

Backdoor Attack and Defense on Deep Learning: A Survey.

Yang Bai, Gaojie Xing, Hongyan Wu, Zhihong Rao, Chuan Ma, Shiping Wang, Xiaolei Liu, Yimin Zhou, Jiajia Tang, Kaijun Huang, Jiale Kang

IEEE Trans. Comput. Soc. Syst., February, 2025

Query-Efficient Model Inversion Attacks: An Information Flow View.

Yixiao Xu, Binxing Fang, Mohan Li, Xiaolei Liu, Zhihong Tian

IEEE Trans. Inf. Forensics Secur., 2025

Focus on Generalization: Improving Adversarial Transferability via Bi-Level Bias Mitigation.

Yiqiang Guo, Lei Zhong, Bin Chen, Jia-Li Yin, Xiaolei Liu, Shouling Ji

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

An Adversarial Example Defense Algorithm for Intelligent Driving.

Jiazhong Lu, Chenli Wang, Yuanyuan Huang, Kangyi Ding, Xiaolei Liu

IEEE Netw., November, 2024

Unstoppable Attack: Label-Only Model Inversion Via Conditional Diffusion Model.

Rongke Liu, Dong Wang, Yizhi Ren, Zhen Wang, Kaitian Guo, Qianqian Qin, Xiaolei Liu

IEEE Trans. Inf. Forensics Secur., 2024

Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection.

Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Xiaolei Liu, Xingwei Lin, Wei Liu

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

<i>SUB-PLAY: </i> Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems.

Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, Shouling Ji

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

2023

Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics.

Jiazhong Lu, Jin Lan, Yuanyuan Huang, Maojia Song, Xiaolei Liu

J. Grid Comput., December, 2023

Launching a Robust Backdoor Attack under Capability Constrained Scenarios.

Ming Yi, Yixiao Xu, Kangyi Ding, Mingyong Yin, Xiaolei Liu

CoRR, 2023

Sparse Black-Box Inversion Attack with Limited Information.

Yixiao Xu, Xiaolei Liu, Teng Hu, Bangzhou Xin, Run Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

IBD: An Interpretable Backdoor-Detection Method via Multivariate Interactions.

Yixiao Xu, Xiaolei Liu, Kangyi Ding, Bangzhou Xin

Sensors, 2022

A Novel Steganography Method for Character-Level Text Image Based on Adversarial Attacks.

Kangyi Ding, Teng Hu, Weina Niu, Xiaolei Liu, Junpeng He, Mingyong Yin, Xiaosong Zhang

Sensors, 2022

Automatic Selection Attacks Framework for Hard Label Black-Box Models.

Xiaolei Liu, Xiaoyu Li, Desheng Zheng, Jiayu Bai, Yu Peng, Shibin Zhang

Proceedings of the IEEE INFOCOM 2022, 2022

Targeted Anonymization: A Face Image Anonymization Method for Unauthorized Models.

Kangyi Ding, Teng Hu, Xiaolei Liu, Weina Niu, Yanping Wang, Xiaosong Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Sparse Adversarial Attack For Video Via Gradient-Based Keyframe Selection.

Yixiao Xu, Xiaolei Liu, Mingyong Yin, Teng Hu, Kangyi Ding

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Compiler-Based Efficient CNN Model Construction for 5G Edge Devices.

Kun Wan, Xiaolei Liu, Jianyu Yu, Xiaosong Zhang, Xiaojiang Du, Nadra Guizani

IEEE Trans. Intell. Transp. Syst., 2021

HTTP-Based APT Malware Infection Detection Using URL Correlation Analysis.

Weina Niu, Jiao Xie, Xiaosong Zhang, Chong Wang, Xin-Qiang Li, Ruidong Chen, Xiao-Lei Liu

Secur. Commun. Networks, 2021

A Hybrid Association Rule-Based Method to Detect and Classify Botnets.

Yuanyuan Huang, Jiazhong Lu, Haozhe Tang, Xiaolei Liu

Secur. Commun. Networks, 2021

Research on information steganography based on network data stream.

Jiazhong Lu, Weisha Zhang, Ziye Deng, Shibin Zhang, Yan Chang, Xiaolei Liu

Neural Comput. Appl., 2021

A low-query black-box adversarial attack based on transferability.

Kangyi Ding, Xiaolei Liu, Weina Niu, Teng Hu, Yanping Wang, Xiaosong Zhang

Knowl. Based Syst., 2021

Transaction-based classification and detection approach for Ethereum smart contract.

Teng Hu, Xiaolei Liu, Ting Chen, Xiaosong Zhang, Xiaoming Huang, Weina Niu, Jiazhong Lu, Kun Zhou, Yuan Liu

Inf. Process. Manag., 2021

2020

Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats.

Teng Hu, Bangzhou Xin, Xiaolei Liu, Ting Chen, Kangyi Ding, Xiaosong Zhang

Sensors, 2020

Research and Analysis of Electromagnetic Trojan Detection Based on Deep Learning.

Jiazhong Lu, Xiaolei Liu, Shibin Zhang, Yan Chang

Secur. Commun. Networks, 2020

An equalisation control method for network big data transmission based on parallel computing.

Jiazhong Lu, Xiaosong Zhang, Xiaolei Liu, Teng Hu, Yu Cao

Int. J. Internet Protoc. Technol., 2020

A Black-Box Attack on Neural Networks Based on Swarm Evolutionary Algorithm.

Xiaolei Liu, Teng Hu, Kangyi Ding, Yang Bai, Weina Niu, Jiazhong Lu

Proceedings of the Information Security and Privacy - 25th Australasian Conference, 2020

Weighted-Sampling Audio Adversarial Example Attack.

Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Samples on Android Malware Detection Systems for IoT Systems.

Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Hao Wang, Mohsen Guizani

Sensors, 2019

Integrating Traffics with Network Device Logs for Anomaly Detection.

Jiazhong Lu, Fengmao Lv, Zhongliu Zhuo, Xiaosong Zhang, Xiaolei Liu, Teng Hu, Wei Deng

Secur. Commun. Networks, 2019

An Insider Threat Detection Approach Based on Mouse Dynamics and Deep Learning.

Teng Hu, Weina Niu, Xiaosong Zhang, Xiaolei Liu, Jiazhong Lu, Yuan Liu

Secur. Commun. Networks, 2019

A Lockable Abnormal Electromagnetic Signal Joint Detection Algorithm.

Jiazhong Lu, Weina Niu, Xiaolei Liu, Teng Hu, Xiaosong Zhang

Int. J. Pattern Recognit. Artif. Intell., 2019

Network Intrusion Feature Map Node Equalization Algorithm Based on Modified Variable Step-Size Constant Modulus.

Jiazhong Lu, Xiaolei Liu, Teng Hu, Jianwei Zhang, Xiaosong Zhang

Int. J. Pattern Recognit. Artif. Intell., 2019

Adversarial Samples on Android Malware Detection Systems for IoT Systems.

Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani

CoRR, 2019

Adversarial attack on Speech-to-Text Recognition Models.

Xiaolei Liu, Kun Wan, Yufei Ding

CoRR, 2019

A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm.

Xiaolei Liu, Yuheng Luo, Xiaosong Zhang, Qingxin Zhu

CoRR, 2019

Adversarial attacks against profile HMM website fingerprinting detection model.

Xiaolei Liu, Zhongliu Zhuo, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani

Cogn. Syst. Res., 2019

Evolution-algorithm-based unmanned aerial vehicles path planning in complex environment.

Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani

Comput. Electr. Eng., 2019

2018

TLTD: A Testing Framework for Learning-Based IoT Traffic Detection Systems.

Xiaolei Liu, Xiaosong Zhang, Nadra Guizani, Jiazhong Lu, Qingxin Zhu, Xiaojiang Du

Sensors, 2018

2016

Modified t-Distribution Evolutionary Algorithm for Dynamic Deployment of Wireless Sensor Networks.

Xiaolei Liu, Xiaosong Zhang, Yiqi Jiang, Qingxin Zhu

IEICE Trans. Inf. Syst., 2016