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.

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