Artificial Intelligence Security and Privacy: Second International Conference, Ais&p 2024, Guangzhou, China, December 6-7, 2024, Proceedings (Paperback)

.- 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.