| 2024 | Federated Learning Greedy Aggregation Optimization for Non-Independently Identically Distributed Data. | Bosong Zhang, Qian Sun, Hai Wang, Linna Zhang, Danyang Li |
| 2024 | CNN-KOA-BiGRU: A high-accuracy APT detection model based on deep learning networks. | Chaoqin Zhang, Maoqi Sun, Guangwu Hu |
| 2024 | An Effective Adversarial Text Attack through a Block-Sparse Approach with Hamiltonian Insights. | Yaling Zhang, Xiang Sun, Yichuan Wang, Dongtai Tang, Chen Zhao |
| 2024 | Maldet: An Automated Malicious npm Package Detector Based on Behavior Characteristics and Attack Vectors. | Yu Zhang, Haipeng Qu, Lingyun Ying, Linghui Wang |
| 2024 | Achieving Trusted GPU Allocation: An Empirical Study on Efficiency Changes of Deep Learning Training Tasks. | Ziheng Zhang, Lei Liu, Zhongmin Yan |
| 2024 | Research on Intelligent Joint Detection Technology for Application Privacy Behavior Compliance. | Ruoding Zhang, Tao Liu, Qifeng Shi, Yan Zhang, Xiaoyi Song, Xinrui Geng |
| 2024 | Enhancing Higher-Order Masking: A Faster and Secure Implementation to Mitigate Bit Interaction Leakage. | Jiahao Zhang, Yuejun Liu, Jingdian Ming, Yiwen Gao, Yongbin Zhou, Debao Wang |
| 2024 | Trusted and Spectrum-Efficient Crowd Computing in Massive MIMO Cellular Networks. | Pengfeng Zhang, Lei Li, Xin Liu, Rui Wang, Donglan Liu, Bing Su, Yuntao Wang, Yiliang Liu, Zhou Su |
| 2024 | Unsupervised Evaluation Method of Relative Coordination Degree from Group Perspective. | Chenghan Zhang, Yan Liu, Daofu Gong, Ling Wang |
| 2024 | EasyDetector: Using Linear Probe to Detect the Provenance of Large Language Models. | Jie Zhang, Jiayuan Li, Haiqiang Fei, Lun Li, Hongsong Zhu |
| 2024 | Behavior Speaks Louder: Rethinking Malware Analysis Beyond Family Classification. | Fei Zhang, Xiaohong Li, Sen Chen, Ruitao Feng |
| 2024 | An Intelligent Affinity Strategy for Dynamic Task Scheduling in Cloud-Edge-End Collaboration. | Jingsen Zhang, Shoulu Hou, Yi Gong, Tao Wang, Changyuan Lan, Xiulei Liu |
| 2024 | From Liberty to 1984: A Methodology for Systematically Deteriorating LLM Outputs through Habituation Tendencies. | Dong Zhang, Zhiyuan Hu, Huijun Chen, Guangming Liu, YinFeng Zheng, Jinghui Lu |
| 2024 | USB Catcher: Detection of Controlled Emissions via Conducted Compromising Emanations. | Yixin Zhang, Fuqiang Du, Xinge Chi, Zhiqiang Lv |
| 2024 | Enhancing Privacy-Preserving Multi-Authority Attribute-Based Encryption: Addressing Rogue-Key Attacks Under Adaptive Corruption of Authorities. | Jingchi Zhang, Anwitaman Datta |
| 2024 | Construction of Cyber-attack Attribution Framework Based on LLM. | Jingye Zhang, Ken Cheng, Xinli Xiong, Rongcheng Dong, Jun Huang, She Jie |
| 2024 | OHSS: Optimizing Homomorphic Secret Sharing to Support Fast Matrix Multiplication. | Shuguang Zhang, Jianli Bai, Kun Tu, Ziyue Yin, Chan Liu |
| 2024 | GeMuFuzz: Integrating Generative and Mutational Fuzzing with Deep Learning. | Zheng Zhang, Rui Ma, Yuqi Zhai, Yuche Yang, Siqi Zhao, Hongming Chen |
| 2024 | Attacking High-order Masked Cryptosystem via Deep Learning-based Side-Channel Analysis. | Zelong Zhang, Wei Cheng, Yongbin Zhou, Zehua Qiao, Yuhan Zhao, Jian Weng |
| 2024 | TransFront: Bi-path Feature Fusion for Detecting Front-running Attack in Decentralized Finance. | Yuheng Zhang, Guojun Wang, Peiqiang Li, Xubin Li, Wanyi Gu, Mingfei Chen, Houji Chen |
| 2024 | Two-Stage Federated Learning Strategy for Fairness and Security in Vehicular Networks. | Xin Zhang, Chao Guo, Buxin Guo |
| 2024 | Design and Implementation of Data Encryption Mechanism in Fiber Channel Network. | Hongke Zhang, Zheng Yan |
| 2024 | OSN Bots Traffic Transformer : MAE-Based Multimodal Social Bots Behavior Pattern Mining. | Haonan Zhai, Ruiqi Liang, Zhenzhen Li, Zhen Li, Wei Xia, Bingxu Wang, Qingya Yang |
| 2024 | An Adaptive Reputation Update Mechanism for Primary Nodes in PBFT. | Limin Yu, Yongdong Wu, Jiao Lu, Tong Li |
| 2024 | Android Malware Detection Technology Based on SC-ViT and Multi-Feature Fusion. | Qiulong Yu, Zhiqiang Wang, Lei Ju, Sicheng Yuan, Ying Zhang |