Artificial Intelligence Security and Privacy
Springer Verlag, Singapore
978-981-99-9784-8 (ISBN)
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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.
Fine-grained Searchable Encryption Scheme.- Fine-grained Authorized Secure Deduplication with Dynamic Policy.- Deep Multi-Image Hiding with Random Key.- Member Inference Attacks in Federated Contrastive Learning.- A network traffic anomaly detection method based on shapelet and KNN.- DFaP: Data Filtering and Purification Against Backdoor Attacks.- A Survey of Privacy Preserving Subgraph Matching Method.- The Analysis of Schnorr Multi-Signatures and the Application to AI.- Active Defense against Image Steganography.- Strict Differentially Private Support Vector Machines with Dimensionality Reduction.- Converging Blockchain and Deep Learning in UAV Network Defense Strategy: Ensuring Data Security During Flight.- Towards Heterogeneous Federated Learning: Analysis, Solutions, and Future Directions.- From Passive Defense to Proactive Defence: Strategies and Technologies.- Research on Surface Defect Detection System of Chip Inductors Based on Machine Vision.- Multimodal fatigue detectionin drivers via physiological and visual signals.- Protecting Bilateral Privacy in Machine Learning-as-a-Service: A Differential Privacy Based Defense.- FedCMK: An Efficient Privacy-Preserving Federated Learning Framework.- An embedded cost learning framework based on cumulative gradient.- An Assurance Case Practice of AI-enabled Systems on Maritime Inspection.- Research and Implementation of EXFAT File System Reconstruction Algorithm Based on Cluster Size Assumption and Computational Verification.- A Verifiable Dynamic Multi-Secret Sharing Obfuscation Scheme Applied to Data LakeHouse.- DZIP: A Data Deduplication-Compatible Enhanced Version of Gzip.- Efficient Wildcard Searchable Symmetric Encryption with Forward and Backward Security.- Adversarial Attacks against Object Detection in Remote Sensing Images.- Hardware Implementation and Optimization of Critical Modules of SM9 Digital Signature Algorithm.- Post-quantum Dropout-resilient Aggregation for Federated Learning via Lattice-basedPRF.- Practical and Privacy-Preserving Decision Tree Evaluation with One Round Communication.- IoT-Inspired Education 4.0 Framework for Higher Education and Industry Needs.- Multi-agent Reinforcement Learning Based User-Centric Demand Response with Non-Intrusive Load Monitoring.- Decision Poisson: From universal gravitation to offline reinforcement learning.- SSL-ABD:An Adversarial Defense MethodAgainst Backdoor Attacks in Self-supervised Learning.- Personalized Differential Privacy in the Shuffle Model.- MKD: Mutual Knowledge Distillation for Membership Privacy Protection.- Fuzzing Drone Control System Configurations Based on Quality-Diversity Enhanced Genetic Algorithm.- KEP: Keystroke Evoked Potential for EEG-based User Authentication.- Verifiable Secure Aggregation Protocol under Federated Learning.- Electronic voting privacy protection scheme based on double signature in Consortium Blockchain.- Securing 5G Positioning via Zero Trust Architecture.- Email Reading Behavior-informed Machine Learning Model to Predict Phishing Susceptibility.
| Erscheinungsdatum | 04.02.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | 147 Illustrations, color; 20 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Bauwesen | |
| Schlagworte | Adversarial Machine Learning • AI fairness • Cryptography for AI • differential privacy • machine learning • Malware detection and analysis • privacy-preserving data mining • security applications |
| ISBN-10 | 981-99-9784-4 / 9819997844 |
| ISBN-13 | 978-981-99-9784-8 / 9789819997848 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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