Algorithms and Architectures for Parallel Processing: 24th International Conference, ICA3PP 2024, Macau, China, October 2931, 2024, Proceedings, Part V [Pehme köide]

An Enhanced Intrusion Detection Method Combined with Contrastive
Federated Learning.- Black-Box Adversarial Attack Against Transformer-Based
Object Detection Models in Vehicular Networks.- FedADDP: Privacy-Preserving
Personalized Federated Learning with Adaptive Dimensional Differential
Privacy.- DP-CLMI: Differentially Private Contrastive Learning against
Membership Inference Attack.- DT-UPD: User Privacy Data Protection through
Distribution Transformation in Unlearning Cloud Service.- Deduplication and
Approximate Analytics for Encrypted IoT Data in Fog-assisted Cloud
Storage.- Encrypted Malware Traffic Detection Via Time-Frequency Domain
Analysis.- Behavior-Driven Encrypted Malware Detection with Robust Traffic
Representation.- Optimizing Self-Training Sample Selection for Euphemism
Detection in Special Scenarios.- Modal-Centric Insights into Multimodal
Federated Learning for Smart Healthcare: A Survey.- Heterogeneous Graph
Modeling for Resource-Aware Prediction of DRL Training Time.- A Comprehensive
Review on Deep Learning System Testing.- CIGraph: Accelerating Graph Queries
Over Database with Compressed Index.- Language-based Colorization with Sparse
Attention and Multi-Scale Cross-Modal Semantic Alignment.- A Power Monitoring
Framework of a Post-Quantum Cryptography Web Server.- A Lightweight Detection
Scheme for Black-Hole Attacks and Gray-Hole Attacks in VANETs.- Federated
Meta Continual Learning for Efficient and Autonomous Edge
Inference.- Progressive Multiscale Attention Network for Diabetic
Retinopathy.- FPIM: Fair and Privacy-Preserving Incentive Mechanism in Mobile
Crowdsensing.- DRL-Based UAV Collaborative Task Offloading for Post-Disaster
Scenarios.- Who is being impersonated? Deepfake Audio Detection and
Impersonated Identification via Extraction of Id-specific Features.- Review
of Incentive Mechanisms of Differential Privacy based Federated Learning
Protocols: From the Economics and Game Theoretical Perspectives.