Artificial Intelligence Security and Privacy

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

AvFangguo Zhang,Weiwei Lin

Häftad, Engelska, 2025

Del 15399 i serien Lecture Notes in Computer Science

536 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-01-18
Mått:155 x 235 x 11 mm
Vikt:300 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:182
Förlag:Springer Nature Switzerland AG
ISBN:9789819611478

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Innehållsförteckning

.- 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.