2024

    2. [CCS’24] SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems

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

      ACM Conference on Computer and Communications Security, ACM, Salt Lake City, USA, 2024.

    4. [ASE’24] Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection

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

      IEEE/ACM International Conference on Automated Software Engineering, IEEE, California, USA, 2024.

    6. [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, 19 :3958–3973, 2024.
      [Link]

    8. [IEEE Network’24] An Adversarial Example Defense Algorithm for Intelligent Driving

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

      IEEE Network, 2024.
      [Link]

    10. [JCC’24] Attack Detection Model for BCoT based on Contrastive Variational Autoencoder and Metric Learning

      Chunwang Wu, Xiaolei Liu, Kangyi Ding, Bangzhou Xin, Jiazhong Lu, Jiayong Liu, and Cheng Huang

      Journal of Cloud Computing, 2024.

2023

    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]

    4. [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]

    6. [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]

2022

    2. [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]

    4. [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]

    6. [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]

    8. [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

    2. [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. [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]

    6. [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]

    8. [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]

    10. [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]

    12. [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]

    14. [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]

2020

    2. [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]

    4. [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]

    6. [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]

    8. [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]

2019

    2. [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]

    4. [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]

    6. [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]

    8. [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

    2. [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]

    4. [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]