Advanced Intelligent Computing Technology and Applications

.- Information Security.
.- Unresponsive IoT Devices: Breaking the Discovery in the Matter Protocol.
.- Epileptic Detection Method for EEG Data Based on Model Pruning Federated Learning.
.- PP-SSFL: A PUF-Paillier Dual-Factor Encryption Secret Sharing Federated Learning Frameworks for IoT.
.- Hierarchical Knowledge Distillation for Federated Backdoor Defense.
.- Towards Saturation Attack Detection in SDN: A Device Hyperedge Graph and Flow-Device Hypergraph Neural Network-based Method.
.- DynaFlow Logic Transformer: A Neuro-Symbolic Approach to Industrial Control System Intrusion Detection.
.- T-TBCLPA: A Secure Cross-Shard Consensus Mechanism for UAVs Based on Task State Network Sharding.
.- Cross-domain Semantic Fusion Framework for Network Intrusion Detection.
.- LCA-PRCA: Lowest Common Ancestor Embedding for Provenance-Based Intrusion Detection.
.- PreFilter: Enhancing the Efficiency of Binary Code Similarity Detection by Efficient Prefiltration.
.- Anomaly Detection in Encrypted Videos Using Knowledge Distillation.
.- Reliable Multi-Bit Watermark for Large Language Models via Robust Encoding and Green-Zone Refinement.
.- CGTdroid: Enhancing Android App Risk Assessment Through Cross Attention Network.
.- Leveraging Multiple Metrics to Improve Difficulty Calibration in Membership Inference Attacks.
.- FedFTL-R: Feature-Interactive Federated Transfer Learning from a Reinforcement Learning Perspective.
.- FRVA: Content-aware Video Frame Redundancy Elimination for Bandwidth-limited Edge Video Analytics.
.- A Large Language Models-Powered Framework for Smart Contract Repair.
.- Federated Multi-Instance Multi-Label Learning Based on Label Richness and Balance.
.- A Feature Fusion-based Detection Model Against Adversarial XSS Attacks.
.- TinyDF: Tiny and Effective Model for Deepfake Detection.
.- Staged Collaborative Adversarial Training: Leveraging Peer Models for Stronger Robustness.
.- CIEGAN: An Innovative Generative Method for Solving the Sample Imbalance Problem in CDN Website Traffic Classification.
.- PD-ADPVFL: Performance-Driven Adaptive Differential Privacy Vertical Federated Learning.
.- A Communication-Efficient Federated Contrastive Learning Framework for Intrusion Detection.
.- Graph-Temporal Double Deep Q Network (GT-DQNet) for Efficient Workflow Scheduling in Mobile Edge Computing.
.- A meta-heuristic cloud resource scheduling strategy balancing timeliness and cost.
.- Reversible Data Hiding in Encrypted Images Based on Block and Bit Plane Recomposing.
.- Efficient Privacy-Preserving Spatial Data Query in Mobile Internet of Things.
.- Link Failure Recovery in Hybrid SDN Using Prior Knowledge-Based Reinforcement Learning Algorithms.
.- Face Recognition Differential Privacy Protection Method Based on NMF and PCA.
.- CAT-AE2: A Robust IoT Intrusion Detection Model Based on Adversarial Autoencode.
.- Enhancing Privacy Guarantees for Federated Learning with Local Differential Privacy and Secure Multi-party Computation.
.- Performance and Privacy: A Low-Latency Secure Anonymous Authentication Protocol with OPRF.
.- Balancing Interpretability and Cost in Binary Code Similarity Detection by LLM Distillation.
.- Fake News Detection Model Based on Competitive Wisdom and Conflict Debate.
.- KLRAG: Deep Learning Library Vulnerability Detection via Knowledge level RAG.
.- Intelligent Computing in Computer Vision.
.- DFWGAN: Dual-feature Watermarking for StyleGAN.
.- Dual-Modal Structural Decoupling with Semantic Relation Distillation for Text-Based Person Search.
.- Multi-Scale Context-Aware Attention Network with Theme Information for Image Aesthetic Assessment.
.- RAdam-TOG: A Global Perturbation Adversarial Attack Scheme for Object Detectors.
.- PFA: Improving Adversarial Transferability via Prediction Feature.
.- AI-generated Image Detection in Degraded Scenarios.
.- Detection of Underwater Multi-Targets Based on Self-Supervised Learning and Deformable Path Aggregation Feature Pyramid Network.
.- CCD-YOLO11n: A Novel Approach for Player Detection in Floorball.