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 /  [electronic resource] : 
edited by Jaideep Vaidya, Moncef Gabbouj, Jin Li. 
 - 1st ed. 2024. 
 - XVI, 279 p. 115 illus., 97 illus. in color.  online resource. 
 - Lecture Notes in Computer Science,  14510  1611-3349 ; .
 - Lecture Notes in Computer Science,  14510 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9789819997886 
<br/><br/><label>Standard No.: </label>10.1007/978-981-99-9788-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Security systems.<br/>Data protection--Law and legislation.<br/>Cryptography.<br/>Data encryption (Computer science).<br/>Data protection.<br/>Artificial Intelligence.<br/>Security Science and Technology.<br/>Privacy.<br/>Cryptology.<br/>Security Services.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3