First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3–5, 2023, Proceedings, Part II Vaidya, Jaideep. editor. edt http://id.loc.gov/vocabulary/relators/edt Gabbouj, Moncef. editor. edt http://id.loc.gov/vocabulary/relators/edt Li, Jin. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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access XVI, 279 p. 115 illus., 97 illus. in color. online resource. 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. 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. edited by Jaideep Vaidya, Moncef Gabbouj, Jin Li. 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 Services Q334-342 TA347.A78 9789819997886 https://doi.org/10.1007/978-981-99-9788-6 https://doi.org/10.1007/978-981-99-9788-6 240203 20251030111415.0 978-981-99-9788-6