Artificial Intelligence Security and Privacy
Springer Verlag, Singapore
978-981-99-9787-9 (ISBN)
The 40 regular papers and 23 workshop papers presented in this two-volume set were carefully reviewed and selected from 115 submissions.
Topics of interest include, e.g., attacks and defence on AI systems; adversarial learning; privacy-preserving data mining; differential privacy; trustworthy AI; AI fairness; AI interpretability; cryptography for AI; security applications.
Application of lattice-based unique ring signature in blockchain transactions.- Rethinking Distribution Alignment for Inter-class Fairness.- Online Learning Behavior Analysis and Achievement Prediction with Explainable Machine Learning.- A Privacy-Preserving Face Recognition Scheme Combining Homomorphic Encryption and Parallel Computing.- A graph-based vertical federation broad learning system.- EPoLORE: Efficient and Privacy Preserved Logistic Regression scheme.- Multi-dimensional Data Aggregation Scheme without a Trusted Third Party in Smart Grid.- Using Micro Videos to Optimize Premiere Software Course Teaching.- The Design and Implementation of Python Knowledge Graph for Programming Teaching.- An Improved Prototypical Network for Endoscopic Grading of Intestinal Metaplasia.- Secure Position-aware Graph Neural Networks for Session-based Recommendation.- Design of a Fast Recognition Method for College Students' Classroom Expression Images Based on Deep Learning.- Research on ALSTM-SVR based Traffic Flow prediction adaptive beacon message Joint control.- An Improved Hybrid Sampling Model for Network Intrusion Detection Based on Data Imbalance.- Using the SGE-CGAM Method to Address Class Imbalance Issues in Network Intrusion Detection.- A Study of Adaptive Algorithm for Dynamic Adjustment of Transmission Power and Contention Window.- Deep learning-based lung nodule segmentation and 3D reconstruction algorithm for CT images.- GridFormer: Grid foreign object detection also requires Transformer.- An Anomaly Detection and Localization Method Based on Feature Fusion and Attention.- Ensemble of Deep Convolutional Network for Citrus Disease Classification using Leaf Images.- PM2.5 Monitoring And Prediction Basing On IOT And RNN Neural Network.- An image zero watermark algorithm based on DINOv2 and multiple cycle transformation.- An image copyright authentication model based on blockchain and digital watermark.
| Erscheinungsdatum | 04.02.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | 97 Illustrations, color; 18 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Bauwesen | |
| Schlagworte | Adversarial Machine Learning • AI fairness • Cryptography for AI • differential privacy • machine learning • Malware detection and analysis • privacy-preserving data mining • security applications |
| ISBN-10 | 981-99-9787-9 / 9819997879 |
| ISBN-13 | 978-981-99-9787-9 / 9789819997879 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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