E-grāmata: Artificial Intelligence Security and Privacy: Second International Conference, AIS&P 2024, Guangzhou, China, December 6-7, 2024, Proceedings

.- 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.