Member Inference Attacks in Federated Contrastive Learning. - Zixin Wang; Bing Mi; Kongyang Chen (AIS&P (1), 2023)

Secure Crowdsourced Blockchain Computation Intelligence for IoT Systems. - Xiaoting Zhang; Xiangyu Feng; Huaiyuan Zhang; Bing Mi; Kongyang Chen (MDM, 2023)

BadHAR: Backdoor Attacks in Federated Human Activity Recognition Systems. - Dongping Zhang; Bing Mi; Kongyang Chen (AIS&P, 2024)

Machine Unlearning in Large Language Models. - Kongyang Chen; Zixin Wang; Bing Mi; Waixi Liu 001; Shaowei Wang 003; Xiaojun Ren; Jiaxing Shen (CoRR, 2024)

EdgeLeakage: Membership Information Leakage in Distributed Edge Intelligence Systems. - Kongyang Chen; Yi Lin; Hui Luo; Bing Mi; Yatie Xiao; Chao Ma; Jorge Sá Silva (CoRR, 2024)

Data Trading Combination Auction Mechanism based on the Exponential Mechanism. - Kongyang Chen; Zeming Xu; Bing Mi (CoRR, 2024)

Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices. - Kongyang Chen; Dongping Zhang; Bing Mi (CoRR, 2024)

AIGC-Assisted Digital Watermark Services in Low-Earth Orbit Satellite-Terrestrial Edge Networks. - Kongyang Chen; Yikai Li; Wenjun Lan; Bing Mi; Shaowei Wang 003 (CoRR, 2024)

Privacy preserving machine unlearning for smart cities. - Kongyang Chen; Yao Huang; Yiwen Wang; Xiaoxue Zhang; Bing Mi; Yu Wang (Ann. des Télécommunications, 2024)

Fast yet versatile machine unlearning for deep neural networks. - Kongyang Chen; Dongping Zhang; Bing Mi; Yao Huang; Zhipeng Li (Neural Networks, 2025)

Multi-Party Data Pricing for Complex Data Trading Markets: A Rubinstein Bargaining Approach. - Bing Mi; Zhengwang Han; Kongyang Chen (CoRR, 2025)

EdgeStreaming: Secure Computation Intelligence in Distributed Edge Networks for Streaming Analytics. - Pei-Gen Ye; Wenfeng Wang; Bing Mi; Kongyang Chen (ACM Trans. Multim. Comput. Commun. Appl., 2025)