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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
View online- Format:
- Book
- 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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