Data Security and Privacy Protection (eBook, PDF)

Third International Conference, DSPP 2025, Xi'an, China, October 16-18, 2025, Proceedings, Part II
Redaktion: Chen, Xiaofeng; Wang, Ding; Hu, Haibo

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 3rd International Conference on Data Security and Privacy Protection, DSPP 2025, held in Xi'an, China, during October 16-18, 2025.

The 36 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 105 submissions.

The papers are organized in the following topical sections:

Part I:AI and System Security; Blockchain and Related Technologies; Privacy Preserving/Enhancing Technologies; Cryptographic Primitives; Privacy-Aware Federated Learning; AI-based Security Applications and Technologies.

Part II: AI-based Security Applications and Technologies; Cryptographic Protocols Design and Analysis; Model Security and Copyright Protection.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 237
• Erscheinungstermin: 14. Oktober 2025
• Englisch
• ISBN-13: 9789819531851
• Artikelnr.: 75672013

Inhaltsangabe

.- AI-based Security Applications and Technologies.

.- Dual-FER: A Dual-Network Approach to Facial Expression Recognition
with Enhanced Generalization.

.- Digital Forensics in Ransomware Analysis for Windows-Based
Computer Systems.

.- Evaluating Deep Learning in Gait Recognition.

.- Composite Weather Image Restoration Based on Two-Stage Feature
Learning.

.- An Efficient Explainability Framework for Graph Neural Networks.

.- Cryptographic Protocols Design and Analysis.

.- Post-Quantum Privacy-Preserving Smart Meter Data Collection
Scheme from Coding.

.- High-Throughput Threshold SM2 Signatures with Robustness.

.- Attacks on Implementations of Lindell 17 and its Variants.

.- RRSC: Revocable Ring Signature Scheme over CRYSTALS-Dilithium
for VANETs.

.- A Key Derivation Tree-Based Encryption and Verification Scheme for
EV Data Auditing.

.- Security Weaknesses in ISO 15118-Based CCS2 Charging.

.- Model Security and Copyright Protection.

.- SemBits: Multi-Bit Semantic Watermarking with Sentence-Level
Hashing for LLMs.

.- Robust Ownership Verification in Large Language Models via
Equivalent Neuron Pair Encoding.

.- FreMark: Frequency-Domain Watermark Embedding in Quantized LLMs.

.- Bypassing Cross-Domain Restrictions with Unsupervised Visual
Translation.