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2024

1. [TIFS’24] Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model
   
   Rongke Liu, Dong Wang, Yizhi Ren, Kaitian Guo, Qianqian Qin, and Xiaolei Liu
   IEEE Transactions on Information Forensics and Security, 2024.
   [Link]

2023

1. [Appl.Sci.’23] A Robust Adversarial Example Attack Based on Video Augmentation
   
   Mingyong Yin, Yixiao Xu, Teng Hu, and Xiaolei Liu
   Applied Sciences, 13(3) :1914, 2023.
   [PDF]
2. [ICASSP’23] Sparse Black-Box Inversion Attack with Limited Information
   
   Yixiao Xu, Xiaolei Liu, Teng Hu, Bangzhou Xin, and Run Yang
   ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, IEEE, 2023.
   [Link]
3. [J.Grid Comput.’23] Anti-attack Intrusion Detection Model based on MPNN and Traffic Spatiotemporal Characteristics
   
   Jiazhong Lu, Jin Lan, Yuanyuan Huang, Maojia Song, and Xiaolei Liu
   Journal of Grid Computing, 21(60) 2023.
   [PDF]

2022

1. [ICASSP’22] Sparse Adversarial Attack For Video Via Gradient-Based Keyframe Selection
   
   Yixiao Xu, Xiaolei Liu, Mingyong Yin, Teng Hu, and Kangyi Ding
   ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2874–2878, IEEE, 2022.
   [Link]
2. [ICME’22] Targeted Anonymization: A Face Image Anonymization Method for Unauthorized Models
   
   Kangyi Ding, Teng Hu, Xiaolei Liu, Weina Niu, Yanping Wang, and Xiaosong Zhang
   2022 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6, IEEE, 2022.
   [Link]
3. [Sensors’22] IBD: An Interpretable Backdoor-Detection Method via Multivariate Interactions
   
   Yixiao Xu, Xiaolei Liu, Kangyi Ding, and Bangzhou Xin
   Sensors, 22(22) :8697, 2022.
   [PDF]
4. [Sensors’22] 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, and Xiaosong Zhang
   Sensors, 22(17) :6497, 2022.
   [PDF]

2021

1. [NCA’21] Research on information steganography based on network data stream
   
   Jiazhong Lu, Weisha Zhang, Ziye Deng, Shibin Zhang, Yan Chang, and Xiaolei Liu
   Neural Computing and Applications, 33 :851–866, 2021.
   [Link]
2. [IPM’21] 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, and Yuan Liu
   Information Processing & Management, 58(2) :102462, 2021.
   [Link]
3. [ITS’21] Compiler-Based Efficient CNN Model Construction for 5G Edge Devices
   
   Kun Wan, Xiaolei Liu, Jianyu Yu, Xiaosong Zhang, Xiaojiang Du, and Nadra Guizani
   IEEE Transactions on Intelligent Transportation Systems, 2021.
   [Link]
4. [SCN’21] HTTP-based APT malware infection detection using URL correlation analysis
   
   Weina Niu, Jiao Xie, Xiaosong Zhang, Chong Wang, Xinqiang Li, Ruidong Chen, and Xiaolei Liu
   Security and Communication Networks, 2021 :1–12, 2021.
   [PDF]
5. [KBS’21] A low-query black-box adversarial attack based on transferability
   
   Kangyi Ding, Xiaolei Liu, Weina Niu, Teng Hu, Yanping Wang, and Xiaosong Zhang
   Knowledge-Based Systems, 226 :107102, 2021.
   [Link]
6. [ICMLWS’21] Audio injection adversarial example attack
   
   Xiaolei Liu, Xingshu Chen, Mingyong Yin, Yulong Wang, Teng Hu, and Kangyi Ding
   ICML 2021 Workshop on Adversarial Machine Learning 2021.
   [PDF]
7. [SCN’21] A Hybrid Association Rule-Based Method to Detect and Classify Botnets
   
   Yuanyuan Huang, Lu Jiazhong, Haozhe Tang, and Xiaolei Liu
   Security and Communication Networks, 2021 :1–9, 2021.
   [PDF]

2020

1. [ACISP’20] A black-box attack on neural networks based on swarm evolutionary algorithm
   
   Xiaolei Liu, Teng Hu, Kangyi Ding, Yang Bai, Weina Niu, and Jiazhong Lu
   Information Security and Privacy: 25th Australasian Conference, ACISP 2020, Perth, WA, Australia, November 30–December 2, 2020, Proceedings 25, pp. 268–284, Springer International Publishing, 2020.
   [Link]
2. [Sensors’20] Tracking the insider attacker: A blockchain traceability system for insider threats
   
   Teng Hu, Bangzhou Xin, Xiaolei Liu, Ting Chen, Kangyi Ding, and Xiaosong Zhang
   Sensors, 20(18) :5297, 2020.
   [PDF]
3. [SCN’20] Research and analysis of electromagnetic Trojan detection based on deep learning
   
   Jiazhong Lu, Xiaolei Liu, Shibin Zhang, and Yan Chang
   Security and Communication Networks, 2020 :1–13, 2020.
   [PDF]
4. [AAAI’20] Weighted-sampling audio adversarial example attack
   
   Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, and Qingxin Zhu
   Proceedings of the AAAI Conference on Artificial Intelligence, pp. 4908–4915 2020.
   [PDF] | [Link]

2019

1. [Sensors’19] Adversarial Samples on Android Malware Detection Systems for IoT Systems
   
   Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Hao Wang, and Mohsen Guizani
   Sensors, 19(4) :974, 2019.
   [PDF]
2. [SCN’19] An Insider Threat Detection Approach Based on Mouse Dynamics and Deep Learning
   
   Teng Hu, Weina Niu, Xiaosong Zhang, Xiaolei Liu, Jiazhong Lu, and Yuan Liu
   Security and Communication Networks, 2019 2019.
   [PDF]
3. [SCN’19] Integrating Traffics with Network Device Logs for Anomaly Detection
   
   Jiazhong Lu, Fengmao Lv, Zhongliu Zhuo, Xiaosong Zhang, Xiaolei Liu, Teng Hu, and Wei Deng
   Security and Communication Networks, 2019.
   [PDF]
4. [CEE’19] Evolution-algorithm-based unmanned aerial vehicles path planning in complex environment
   
   Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, and Mohsen Guizani
   Computers & Electrical Engineering, 80 :106493, 2019.
   [Link]

2018

1. [Sensors’18] TLTD: a testing framework for learning-based IoT traffic detection systems
   
   Xiaolei Liu, Xiaosong Zhang, Nadra Guizani, Jiazhong Lu, Qingxin Zhu, and Xiaojiang Du
   Sensors, 18(8) :2630, 2018.
   [PDF]
2. [CSR’18] Adversarial Attacks Against Profile HMM Website Fingerprinting Detection Model
   
   Xiaolei Liu, Zhongliu Zhuo, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, and Mohsen Guizani
   Cognitive Systems Research, 2018.
   [Link]