Modified t-Distribution Evolutionary Algorithm for Dynamic Deployment of Wireless Sensor Networks. - Xiaolei Liu 001; Xiaosong Zhang 001; Yiqi Jiang; Qingxin Zhu (IEICE Trans. Inf. Syst., 2016)

TLTD: A Testing Framework for Learning-Based IoT Traffic Detection Systems. - Xiaolei Liu 001; Xiaosong Zhang 001; Nadra Guizani; Jiazhong Lu; Qingxin Zhu; Xiaojiang Du (Sensors, 2018)

Evolution-algorithm-based unmanned aerial vehicles path planning in complex environment. - Xiaolei Liu 001; Xiaojiang Du; Xiaosong Zhang 001; Qingxin Zhu; Mohsen Guizani (Comput. Electr. Eng., 2019)

Adversarial attacks against profile HMM website fingerprinting detection model. - Xiaolei Liu 001; Zhongliu Zhuo; Xiaojiang Du; Xiaosong Zhang 001; Qingxin Zhu; Mohsen Guizani (Cogn. Syst. Res., 2019)

A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm. - Xiaolei Liu 001; Yuheng Luo; Xiaosong Zhang 001; Qingxin Zhu (CoRR, 2019)

Adversarial attack on Speech-to-Text Recognition Models. - Xiaolei Liu 001; Kun Wan 001; Yufei Ding 001 (CoRR, 2019)

Adversarial Samples on Android Malware Detection Systems for IoT Systems. - Xiaolei Liu 001; Xiaojiang Du; Xiaosong Zhang 001; Qingxin Zhu; Mohsen Guizani (CoRR, 2019)

Network Intrusion Feature Map Node Equalization Algorithm Based on Modified Variable Step-Size Constant Modulus. - Jiazhong Lu; Xiaolei Liu 001; Teng Hu; Jianwei Zhang 001; Xiaosong Zhang 001 (Int. J. Pattern Recognit. Artif. Intell., 2019)

A Lockable Abnormal Electromagnetic Signal Joint Detection Algorithm. - Jiazhong Lu; Weina Niu; Xiaolei Liu 001; Teng Hu; Xiaosong Zhang 001 (Int. J. Pattern Recognit. Artif. Intell., 2019)

An Insider Threat Detection Approach Based on Mouse Dynamics and Deep Learning. - Teng Hu; Weina Niu; Xiaosong Zhang 001; Xiaolei Liu 001; Jiazhong Lu; Yuan Liu (Secur. Commun. Networks, 2019)

Integrating Traffics with Network Device Logs for Anomaly Detection. - Jiazhong Lu; Fengmao Lv; Zhongliu Zhuo; Xiaosong Zhang 001; Xiaolei Liu 001; Teng Hu; Wei Deng 003 (Secur. Commun. Networks, 2019)

Adversarial Samples on Android Malware Detection Systems for IoT Systems. - Xiaolei Liu 001; Xiaojiang Du; Xiaosong Zhang 001; Qingxin Zhu; Hao Wang 003; Mohsen Guizani (Sensors, 2019)

Weighted-Sampling Audio Adversarial Example Attack. - Xiaolei Liu 001; Kun Wan 001; Yufei Ding 001; Xiaosong Zhang 001; Qingxin Zhu (AAAI, 2020)

A Black-Box Attack on Neural Networks Based on Swarm Evolutionary Algorithm. - Xiaolei Liu 001; Teng Hu; Kangyi Ding; Yang Bai; Weina Niu; Jiazhong Lu (ACISP, 2020)

An equalisation control method for network big data transmission based on parallel computing. - Jiazhong Lu; Xiaosong Zhang 001; Xiaolei Liu 001; Teng Hu; Yu Cao (Int. J. Internet Protoc. Technol., 2020)

Research and Analysis of Electromagnetic Trojan Detection Based on Deep Learning. - Jiazhong Lu; Xiaolei Liu 001; Shibin Zhang; Yan Chang (Secur. Commun. Networks, 2020)

Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats. - Teng Hu; Bangzhou Xin; Xiaolei Liu 001; Ting Chen 002; Kangyi Ding; Xiaosong Zhang 001 (Sensors, 2020)

Transaction-based classification and detection approach for Ethereum smart contract. - Teng Hu; Xiaolei Liu 001; Ting Chen 002; Xiaosong Zhang 001; Xiaoming Huang; Weina Niu; Jiazhong Lu; Kun Zhou; Yuan Liu (Inf. Process. Manag., 2021)

A low-query black-box adversarial attack based on transferability. - Kangyi Ding; Xiaolei Liu 001; Weina Niu; Teng Hu; Yanping Wang; Xiaosong Zhang 001 (Knowl. Based Syst., 2021)

Research on information steganography based on network data stream. - Jiazhong Lu; Weisha Zhang; Ziye Deng; Shibin Zhang; Yan Chang; Xiaolei Liu 001 (Neural Comput. Appl., 2021)

A Hybrid Association Rule-Based Method to Detect and Classify Botnets. - Yuanyuan Huang 007; Jiazhong Lu; Haozhe Tang; Xiaolei Liu 001 (Secur. Commun. Networks, 2021)

HTTP-Based APT Malware Infection Detection Using URL Correlation Analysis. - Weina Niu; Jiao Xie; Xiaosong Zhang 001; Chong Wang; Xin-Qiang Li; Ruidong Chen; Xiao-Lei Liu 001 (Secur. Commun. Networks, 2021)

Compiler-Based Efficient CNN Model Construction for 5G Edge Devices. - Kun Wan 001; Xiaolei Liu 001; Jianyu Yu; Xiaosong Zhang 001; Xiaojiang Du; Nadra Guizani (IEEE Trans. Intell. Transp. Syst., 2021)

Sparse Adversarial Attack For Video Via Gradient-Based Keyframe Selection. - Yixiao Xu; Xiaolei Liu 001; Mingyong Yin; Teng Hu; Kangyi Ding (ICASSP, 2022)

Targeted Anonymization: A Face Image Anonymization Method for Unauthorized Models. - Kangyi Ding; Teng Hu; Xiaolei Liu 001; Weina Niu; Yanping Wang; Xiaosong Zhang 001 (ICME, 2022)

Automatic Selection Attacks Framework for Hard Label Black-Box Models. - Xiaolei Liu 001; Xiaoyu Li; Desheng Zheng; Jiayu Bai; Yu Peng; Shibin Zhang (INFOCOM Workshops, 2022)

A Novel Steganography Method for Character-Level Text Image Based on Adversarial Attacks. - Kangyi Ding; Teng Hu; Weina Niu; Xiaolei Liu 001; Junpeng He; Mingyong Yin; Xiaosong Zhang 001 (Sensors, 2022)

IBD: An Interpretable Backdoor-Detection Method via Multivariate Interactions. - Yixiao Xu; Xiaolei Liu 001; Kangyi Ding; Bangzhou Xin (Sensors, 2022)

Sparse Black-Box Inversion Attack with Limited Information. - Yixiao Xu; Xiaolei Liu 001; Teng Hu; Bangzhou Xin; Run Yang (ICASSP, 2023)

Launching a Robust Backdoor Attack under Capability Constrained Scenarios. - Ming Yi; Yixiao Xu; Kangyi Ding; Mingyong Yin; Xiaolei Liu 001 (CoRR, 2023)

Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics. - Jiazhong Lu; Jin Lan; Yuanyuan Huang 007; Maojia Song; Xiaolei Liu 001 (J. Grid Comput., 2023)

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems. - Oubo Ma; Yuwen Pu; Linkang Du; Yang Dai; Ruo Wang; Xiaolei Liu 001; Yingcai Wu; Shouling Ji (CCS, 2024)

Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection. - Sicong Cao; Xiaobing Sun 001; Xiaoxue Wu 001; David Lo 001; Lili Bo; Bin Li 006; Xiaolei Liu 001; Xingwei Lin; Wei Liu 010 (ASE, 2024)

Unstoppable Attack: Label-Only Model Inversion Via Conditional Diffusion Model. - Rongke Liu; Dong Wang 019; Yizhi Ren; Zhen Wang 013; Kaitian Guo; Qianqian Qin; Xiaolei Liu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

An Adversarial Example Defense Algorithm for Intelligent Driving. - Jiazhong Lu; Chenli Wang; Yuanyuan Huang 007; Kangyi Ding; Xiaolei Liu 001 (IEEE Netw., 2024)

Query-Efficient Model Inversion Attacks: An Information Flow View. - Yixiao Xu; Binxing Fang; Mohan Li; Xiaolei Liu 001; Zhihong Tian (IEEE Trans. Inf. Forensics Secur., 2025)

Backdoor Attack and Defense on Deep Learning: A Survey. - Yang Bai; Gaojie Xing; Hongyan Wu; Zhihong Rao; Chuan Ma 001; Shiping Wang; Xiaolei Liu 001; Yimin Zhou 002; Jiajia Tang; Kaijun Huang; Jiale Kang (IEEE Trans. Comput. Soc. Syst., 2025)