Machine Learning for Cyber Security

6th International Conference, ML4CS 2024, Hangzhou, China, December 27–29, 2024, Proceedings

AvYang Xiang,Jian Shen

Häftad, Engelska, 2025

Del 15566 i serien Lecture Notes in Computer Science

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Beskrivning

mso-fareast-language: EN-IN;">This book constitutes the referred proceedings of the 6th International Conference on Machine Learning for Cyber Security, ML4CS 2024, held in Hangzhou, China, during December 27–29, 2024.

Produktinformation

Utgivningsdatum:2025-04-01
Mått:155 x 235 x 25 mm
Vikt:698 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:450
Förlag:Springer Nature Switzerland AG
ISBN:9789819645657

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

.- Secure Resource Allocation via Constrained Deep Reinforcement Learning..- Efficient Two-Party Privacy-Preserving Ridge and Lasso Regression via SMPC..- A Decentralized Bitcoin Mixing Scheme Based on Multi-signature..- Decentralized Continuous Group Key Agreement for UAV Ad-hoc Network..- Efficient Homomorphic Approximation of Max Pooling for Privacy-Preserving Deep Learning..- Blockchain-Aided Revocable Threshold Group Signature Scheme for Smart Grid..- Privacy-preserving Three-factors Authentication and Key Agreement for Federated Learnin..- Blockchain-Based Anonymous Authentication Scheme with Traceable Pseudonym Management in ITS..- Multi-keyword Searchable Data Auditing for Cloud-based Machine Learning..- A Flexible Keyword-Based PIR Scheme with Customizable Data Scales for Multi-Server Learning..- Automatic Software Vulnerability Detection in Binary Code..- Malicious Code Detection Based On Generative Adversarial Model..- Construction of an AI Code Defect Detection and Repair Dataset Based on Chain of Thought..- Backdoor Attack on Android Malware Classifiers Based on Genetic Algorithms..- A Malicious Websites Classifier Based on an Improved Relation Network..- Unknown Category Malicious Traffic Detection Based on Contrastive Learning..- SoftPromptAttack: Research on Backdoor Attacks in Language Models Based on Prompt Learning..- Removing Regional Steering Vectors to Achieve Knowledge Domain Forgetting in Large Language Models..- A Novel and Efficient Multi-scale Spatio-temporal Residual Network for Multi-Class Instrusion Detection..- Provable Data Auditing Scheme from Trusted Execution Environment..- Enhanced PIR Scheme Combining SimplePIR and Spiral: Achieving Higher Throughput without Client Hints..- A Two-stage Image Blind Inpainting Algorithm Based on Gated Residual Connection..- GAN-based Adaptive Trigger Generation and Target Gradient Alignment in Vertical Federated Learning Backdoor Attacks..- Weakly Supervised Waste Classification with Adaptive Loss and Enhanced Class Activation Maps..- A Vehicle Asynchronous Communication Scheme Based on Federated Deep Reinforcement Learning..- A Vehicles Scheduling Algorithm Based on Clustering based Federated Learning..- A Cooperative Caching Strategy Based on Deep Q-Network for Mobile Edge Networks..- YOLO-LiteMax: An Improved Model for UAV Small Object Detection..- LMCF-FS: A Novel Lightweight Malware Classification Framework Driven by Feature Selection..- Rule Learning-Based Target Prediction for Efficient and Flexible Private Information Retrieval.