Chen / Hu / Wang Data Security and Privacy Protection

Third International Conference, DSPP 2025, Xi'an, China, October 16–18, 2025, Proceedings, Part II
Erscheinungsjahr 2025
ISBN: 978-981-953185-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 237 Seiten

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Chen, Xiaofeng

Hu, Haibo

Wang, Ding

Inhaltsverzeichnis

.- 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.