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Artificial Intelligence Security and Privacy

Second International Conference, AIS&P 2024, Guangzhou, China, December 6-7, 2024, Proceedings

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Fangguo Zhang

    1. Sun Yat-sen University, Guangzhou, China

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  2. Weiwei Lin

    1. South China University of Technology, Guangzhou, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Hongyang Yan

    1. Guangzhou University, Guangzhou, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15399)

Included in the following conference series:

Conference proceedings info: AIS&P 2024.

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About this book

This book constitutes the refereed proceedings of the Second International Conference on Artificial Intelligence Security and Privacy, AIS&P 2024, held in Guangzhou, China, during December 6-7, 2024.

The 14 full papers included in this book were carefully reviewed and selected from 47 submissions. The papers help to researchers to exchange latest research progress in all areas such as artificial intelligence, security and privacy, and their applications.

Keywords

Table of contents (14 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. BadHAR: Backdoor Attacks in Federated Human Activity Recognition Systems

    • Dongping Zhang, Bing Mi, Kongyang Chen
    Pages 1-11

  3. Fully Automated Generation Mechanism of Rootfs for Specified Operating Systems Under Linux

    • Guoquan Wang, Jiaxuan Chen, Chengfei Zheng
    Pages 12-26

  4. Anti-side-channel Attack Mechanisms in Blockchain Payment Channels

    • Yijia Wang, Xinqi Dong, Jingxin Wang, Xu Zhang, Lianjin He, Mingyue Xu et al.
    Pages 27-34

  5. F2L: A Lightweight Focus Layer Against Backdoor Attack in Federated Learning

    • Peiyao Niu, Lumin Zhou, Yan Lv, Peilin Li, Yue Wang, Tao Li
    Pages 35-43

  6. Intelligent Backpack Based on Wireless Mobile Technology

    • Hua Wang, Pengxiang Wang, Chuyan Wang, Zhengsheng Xiao, Yuhong Sun
    Pages 44-58

  7. Industry Upgrading and Public Opinion Prevention Using BERTopic

    • Xinhua Wang, Xiaomei Yu, Yunmeng Jiang, Xiangwei Zheng, Wei Li
    Pages 59-73

  8. Privacy-Preserving Covert Channels in VoLTE via Inter-Frame Delay Modulation

    • Xiaokai Wu, Xuan sun, Jiaxin Huang, Ning Shi, Chen Liang
    Pages 74-88

  9. Enhancing Adversarial Robustness in Object Detection via Multi-task Learning and Class-Aware Adversarial Training

    • Fan Qin, Nan Ji, Zeping Ye, Ning Shi, Yu-an Tan
    Pages 89-104

  10. FedHKD: A Hierarchical Federated Learning Approach Integrating Clustering and Knowledge Distillation for Non-IID Data

    • Shiwen Hu, Changji Wang, Yuan Li, Zhen Liu, Ning Liu, Qingqing Gan
    Pages 105-116

  11. Application of Ensemble Learning Based on High-Dimensional Features in Financial Big Data

    • Yexin Zhang, Yunhao Li, Gaoming Zhang, Ziyu Ding, Yaqi Wu, Yun Peng
    Pages 117-130

  12. Collaborative Framework for Dynamic Knowledge Updating and Transparent Reasoning with Large Language Models

    • Ziyu Ding, Pei-Gen Ye, Yaqi Wu, Huali Ren
    Pages 131-142

  13. Zero-Shot Dense Retrieval Based on Query Expansion

    • Yaqi Wu, Pengyu Chen, Ziyu Ding, Anli Yan
    Pages 143-155

  14. Lightweight Attention-CycleGAN for Nighttime-Daytime Image Transformation

    • Junhao Huang, Xiangjun Xiao, Haojun Zhou, Affan Yasin, Zhili Zhou
    Pages 156-166

  15. Generative Image Steganography Based on Latent Space Vector Coding and Diffusion Model

    • Weisong Liu, Jianfeng Yang, Jiewen Huang, Ahmed A. Abd El-Latif, Zhili Zhou
    Pages 167-179

  16. Back Matter

    Pages 181-182
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Other volumes

  1. Artificial Intelligence Security and Privacy

Editors and Affiliations

  • Sun Yat-sen University, Guangzhou, China

    Fangguo Zhang

  • South China University of Technology, Guangzhou, China

    Weiwei Lin

  • Guangzhou University, Guangzhou, China

    Hongyang Yan

Bibliographic Information

  • Book Title: Artificial Intelligence Security and Privacy

  • Book Subtitle: Second International Conference, AIS&P 2024, Guangzhou, China, December 6-7, 2024, Proceedings

  • Editors: Fangguo Zhang, Weiwei Lin, Hongyang Yan

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-96-1148-5

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025

  • Softcover ISBN: 978-981-96-1147-8Published: 18 January 2025

  • eBook ISBN: 978-981-96-1148-5Published: 17 January 2025

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 182

  • Number of Illustrations: 11 b/w illustrations, 40 illustrations in colour

  • Topics: Artificial Intelligence, Security Science and Technology, Privacy, Cryptology, Security Services

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