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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 / edited by Jaideep Vaidya, Moncef Gabbouj, Jin Li.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Contributor:
Vaidya, Jaideep, editor.
Gabbouj, Moncef, editor.
Li, Jin, editor.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 14510
Language:
English
Subjects (All):
Artificial intelligence.
Security systems.
Data protection--Law and legislation.
Data protection.
Cryptography.
Data encryption (Computer science).
Artificial Intelligence.
Security Science and Technology.
Privacy.
Cryptology.
Security Services.
Local Subjects:
Artificial Intelligence.
Security Science and Technology.
Privacy.
Cryptology.
Security Services.
Physical Description:
1 online resource (293 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
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.
Contents:
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.
Other Format:
Print version: Vaidya, Jaideep Artificial Intelligence Security and Privacy
ISBN:
981-9997-88-7
OCLC:
1420064988

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