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245	1	0	_aArtificial Intelligence Security and Privacy _h[electronic resource] : _bFirst International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3–5, 2023, Proceedings, Part II / _cedited by Jaideep Vaidya, Moncef Gabbouj, Jin Li.
250			_a1st ed. 2024.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024.
300			_aXVI, 279 p. 115 illus., 97 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x1611-3349 ; _v14510
505	0		_aApplication 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.
520			_aThis 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.
650		0	_aArtificial intelligence.
650		0	_aSecurity systems.
650		0	_aData protection _xLaw and legislation.
650		0	_aCryptography.
650		0	_aData encryption (Computer science).
650		0	_aData protection.
650	1	4	_aArtificial Intelligence.
650	2	4	_aSecurity Science and Technology.
650	2	4	_aPrivacy.
650	2	4	_aCryptology.
650	2	4	_aSecurity Services.
700	1		_aVaidya, Jaideep. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGabbouj, Moncef. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLi, Jin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789819997879
776	0	8	_iPrinted edition: _z9789819997893
830		0	_aLecture Notes in Computer Science, _x1611-3349 ; _v14510
856	4	0	_uhttps://doi.org/10.1007/978-981-99-9788-6
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