卷 1 编号 4 (2024): 人工智能中的对抗性攻击

文章

• 基于Shapley值和智能合约的贡献评估与奖励框架

  Shengdong Chen (作者)

  DOI： https://doi.org/10.70695/0k3pep85

  1-4

  • A Contribution Evaluation and Reward Framework Based on Shapley Value and Smart Contract (英语)

• 基于卷积神经网络算法的金融信息管理研究

  Zhengqiang Xu, Zhugang Tan, Xiaofei Shi, Hui Cao, Yang Zhang (作者)

  DOI： https://doi.org/10.70695/mtedss57

  5-11

  • Research on Financial Information Management Based on Convolutional Neural Network Algorithm (英语)

• 基于卷积神经网络算法的财务信息管理研究：中国内部关联方交易视角下的避税与反避税研究

  Xiaosha He (作者)

  DOI： https://doi.org/10.70695/ptccjd94

  12-18

  • Research on Tax Avoidance and Anti-Tax Avoidance in Data Asset-Related (英语)

• 绿色金融对碳减排影响机制的实证分析：基于中国省级面板数据

  Susu Li, Jingyi Liang, Ping Jiao (作者)

  DOI： https://doi.org/10.70695/m2xmf463

  19-33

  • The Impact Mechanism of Green Finance on Carbon Emission Reduction An Empirical Analysis Using China's Provincial Panel Data (英语)

• 基于人工智能识别的对抗性攻击算法研究

  Si Zhang (作者)

  DOI： https://doi.org/10.70695/prtypb17

  34-39

  • Research on Adversarial Attack Algorithm Based on AI Recognition (英语)

• 混合Transformer-CNN架构用于高效点云分类的注意力机制研究

  Chiyu Wang (作者)

  DOI： https://doi.org/10.70695/5ck0y871

  40-46

  • Hybrid Transformer-CNN Architecture for EfficientPoint Cloud Classification with AttentionMechanisms (英语)

• 监控系统在异构人工智能算力平台的实践探索

  Jinhua Wang, Ruiyi Liao, Jianfang Luo (作者)

  DOI： https://doi.org/10.70695/shuysw13

  47-53

  • Monitoring System Practices and Explorationsin Heterogeneous AI Platforms (英语)

• 结合最优种子数确定和基于SCE的数据增强的逻辑访问攻击检测研究

  Jichen Yang, Jiawei Wu, Wen He, Zili Gao (作者)

  DOI： https://doi.org/10.70695/skknxc45

  54-69

  • Combining the Optimal Seed Number Determining and SCE-based Data Augmentation for Logical Access Attack Detection (英语)

• 基于优化的机器学习模型的建筑碳排放预测模型

  Zhanwei Guo, Yi Luo (作者)

  DOI： https://doi.org/10.70695/41ts7860

  70-83

  • A Building Carbon Emission Prediction Model Based on Optimized Machine Learning Model (英语)

• 关于人工智能在展览行业中的应用和未来发展的研究

  Wenli Cheng, Shaochi Li (作者)

  DOI： https://doi.org/10.70695/nhraw980

  84-90

  • Research on the Application and Future Development of Artificial Intelligence in the Exhibition Industry (英语)