Artificial intelligence security and...
International Conference on Artificial Intelligence Security and Privacy (2024 :)

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  • Artificial intelligence security and privacy = second International Conference, AIS&P 2024, Guangzhou, China, December 6-7, 2024 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Artificial intelligence security and privacy/ edited by Fangguo Zhang, Weiwei Lin, Hongyang Yan.
    Reminder of title: second International Conference, AIS&P 2024, Guangzhou, China, December 6-7, 2024 : proceedings /
    remainder title: AIS&P 2024
    other author: Zhang, Fangguo.
    corporate name: International Conference on Artificial Intelligence Security and Privacy
    Published: Singapore :Springer Nature Singapore : : 2025.,
    Description: x, 182 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: BadHAR: Backdoor Attacks in Federated Human Activity Recognition Systems. -- Fully Automated Generation Mechanism of Rootfs for Specified Operating Systems under Linux. -- Anti-Side-Channel Attack Mechanisms in Blockchain Payment Channels. -- F2L: A Lightweight Focus Layer against Backdoor Attack in Federated Learning. -- Intelligent backpack based on ireless mobile technology. -- Tourism Industry Upgrading and Public Opinion Prevention Methods Based on BERTopic: A Case Study of Hotel Management. -- Privacy-Preserving Covert Channels in VoLTE via Inter-Frame Delay Modulation. -- Enhancing Adversarial Robustness in Object Detection via Multi-Task Learning and Class-Aware Adversarial Training. -- FedHKD: A Hierarchical Federated Learning Approach Integrating lustering and Knowledge Distillation for Non-IID Data. -- Application of Ensemble Learning Based on High-Dimensional Features in Financial Big Data. -- Collaborative Framework for Dynamic Knowledge Updating and Transparent Reasoning with Large Language Models. -- Zero-Shot Dense Retrieval based on Query Expansion. -- Lightweight Attention-CycleGAN for Nighttime-Daytime Image ransformation. -- Generative Image Steganography Based on Latent Space Vector Coding and Diffusion Model.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. - Security measures -
    Online resource: https://doi.org/10.1007/978-981-96-1148-5
    ISBN: 9789819611485
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