Artificial Intelligence Security and Privacy

Fine-grained Searchable Encryption Scheme.- Fine-grained Authorized Secure Deduplication with Dynamic Policy.- Deep Multi-Image Hiding with Random Key.- Member Inference Attacks in Federated Contrastive Learning.- A network traffic anomaly detection method based on shapelet and KNN.- DFaP: Data Filtering and Purification Against Backdoor Attacks.- A Survey of Privacy Preserving Subgraph Matching Method.- The Analysis of Schnorr Multi-Signatures and the Application to AI.- Active Defense against Image Steganography.- Strict Differentially Private Support Vector Machines with Dimensionality Reduction.- Converging Blockchain and Deep Learning in UAV Network Defense Strategy: Ensuring Data Security During Flight.- Towards Heterogeneous Federated Learning: Analysis, Solutions, and Future Directions.- From Passive Defense to Proactive Defence: Strategies and Technologies.- Research on Surface Defect Detection System of Chip Inductors Based on Machine Vision.- Multimodal fatigue detectionin drivers via physiological and visual signals.- Protecting Bilateral Privacy in Machine Learning-as-a-Service: A Differential Privacy Based Defense.- FedCMK: An Efficient Privacy-Preserving Federated Learning Framework.- An embedded cost learning framework based on cumulative gradient.- An Assurance Case Practice of AI-enabled Systems on Maritime Inspection.- Research and Implementation of EXFAT File System Reconstruction Algorithm Based on Cluster Size Assumption and Computational Verification.- A Verifiable Dynamic Multi-Secret Sharing Obfuscation Scheme Applied to Data LakeHouse.- DZIP: A Data Deduplication-Compatible Enhanced Version of Gzip.- Efficient Wildcard Searchable Symmetric Encryption with Forward and Backward Security.- Adversarial Attacks against Object Detection in Remote Sensing Images.- Hardware Implementation and Optimization of Critical Modules of SM9 Digital Signature Algorithm.- Post-quantum Dropout-resilient Aggregation for Federated Learning via Lattice-basedPRF.-