Artificial Intelligence Security and Privacy [electronic resource] : First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3-5, 2023, Proceedings, Part II / edited by Jaideep Vaidya, Moncef Gabbouj, Jin Li.

Colaborador(es): Vaidya, Jaideep [editor.] | Gabbouj, Moncef [editor.] | Li, Jin [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 14510Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XVI, 279 p. 115 illus., 97 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819997886Tema(s): Artificial intelligence | Security systems | Data protection -- Law and legislation | Cryptography | Data encryption (Computer science) | Data protection | Artificial Intelligence | Security Science and Technology | Privacy | Cryptology | Security ServicesFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: This two-volume set LNCS 14509-14510, constitutes the refereed proceedings of the First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, held in Guangzhou, China, during December 3-5, 2023. 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.
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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.

This two-volume set LNCS 14509-14510, constitutes the refereed proceedings of the First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, held in Guangzhou, China, during December 3-5, 2023. 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.

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