An Adversarial Machine Learning Method Based on OpCode N-grams Feature in Malware Detection. - Xiang Li 078; Kefan Qiu; Cheng Qian; Gang Zhao (DSC, 2020)

AttriChain: Decentralized traceable anonymous identities in privacy-preserving permissioned blockchain. - Wei Shao; Chunfu Jia; Yunkai Xu; Kefan Qiu; Yan Gao; Yituo He (Comput. Secur., 2020)

LSC: Online auto-update smart contracts for fortifying blockchain-based log systems. - Wei Shao; Zhi Wang 014; Xiaolu Wang; Kefan Qiu; Chunfu Jia; Chong Jiang (Inf. Sci., 2020)

BMOP: Bidirectional Universal Adversarial Learning for Binary OpCode Features. - Xiang Li 078; Yuanping Nie; Zhi Wang 014; Xiaohui Kuang; Kefan Qiu; Cheng Qian; Gang Zhao (Wirel. Commun. Mob. Comput., 2020)

Research on Off-Path Exploits of Network Protocols. - Falin Hou; Xiao Yu 005; Kefan Qiu; Junli Liu; Zhiwei Shi; Yuanzhang Li 001 (DMBD (1), 2021)

Deep-Learning-Based App Sensitive Behavior Surveillance for Android Powered Cyber-Physical Systems. - Haoyu Ma; Jianwen Tian; Kefan Qiu; David Lo 001; Debin Gao; Daoyuan Wu; Chunfu Jia; Thar Baker (IEEE Trans. Ind. Informatics, 2021)

Towards robust and stealthy communication for wireless intelligent terminals. - Chen Liang; Kefan Qiu; Zheng Zhang; Jie Yang; Yuanzhang Li 001; Jingjing Hu (Int. J. Intell. Syst., 2022)

Hybrid isolation model for device application sandboxing deployment in Zero Trust architecture. - Jingci Zhang; Jun Zheng 007; Zheng Zhang; Tian Chen; Kefan Qiu; Quanxin Zhang 001; Yuanzhang Li 001 (Int. J. Intell. Syst., 2022)

DRSA: Debug Register-Based Self-relocating Attack Against Software-Based Remote Authentication. - Zheng Zhang; Jingfeng Xue; Tianshi Mu; Ting Yu; Kefan Qiu; Tian Chen; Yuanzhang Li 001 (BlockTEA, 2023)

Penetrating Machine Learning Servers via Exploiting BMC Vulnerability. - Yashi Liu; Kefan Qiu; Lu Liu; Quanxin Zhang 001 (ML4CS, 2023)

Sparsity Brings Vulnerabilities: Exploring New Metrics in Backdoor Attacks. - Jianwen Tian; Kefan Qiu; Debin Gao; Zhi Wang 014; Xiaohui Kuang; Gang Zhao (USENIX Security Symposium, 2023)

Stealthy Low-frequency Backdoor Attack against Deep Neural Networks. - Xinrui Liu 002; Yu-an Tan 001; Yajie Wang; Kefan Qiu; Yuanzhang Li 001 (CoRR, 2023)

Towards Invisible Backdoor Attacks in the Frequency Domain against Deep Neural Networks. - Xinrui Liu 002; Yajie Wang; Yu-An Tan 001; Kefan Qiu; Yuanzhang Li 001 (CoRR, 2023)

Microservice combination optimisation based on improved gray wolf algorithm. - Jingjing Hu; Xiaojun Xu 001; Jin Hao; Xiuqi Yang; Kefan Qiu; Yuanzhang Li 001 (Connect. Sci., 2023)

EasyLog: An Efficient Kernel Logging Service for Machine Learning. - Xundi Yang; Kefan Qiu; Quanxin Zhang 001 (ACNS Workshops (1), 2024)

A Framework for BMC Firmware Vulnerability Analysis and Exploitation. - Jiapeng Wang; Zhihan Zheng; Kefan Qiu; Yu-an Tan 001; Chen Liang; Wenjuan Li (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Bypassing software-based remote attestation using debug registers. - Zheng Zhang; Jingfeng Xue; Tianshi Mu; Ting Yu; Kefan Qiu; Tian Chen; Yuanzhang Li 001 (Connect. Sci., 2024)

Density Boosts Everything: A One-stop Strategy for Improving Performance, Robustness, and Sustainability of Malware Detectors. - Jianwen Tian; Wei Kong; Debin Gao; Tong Wang; Taotao Gu; Kefan Qiu; Zhi Wang 014; Xiaohui Kuang (NDSS, 2025)