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fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf

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Artificial Intelligence Security and Privacy

First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3-5, 2023, Proceedings, Part II

Medium: Buch
ISBN: 978-981-99-9787-9
Verlag: Springer Nature Singapore
Erscheinungstermin: 04.02.2024
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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.

Produkteigenschaften

  • Artikelnummer: 9789819997879
  • Medium: Buch
  • ISBN: 978-981-99-9787-9
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 04.02.2024
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2024
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 452 g
  • Seiten: 279
  • Format (B x H x T): 155 x 235 x 17 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

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.