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  • Produktbild: Machine Learning for Cyber Security
Band 15566

Machine Learning for Cyber Security 6th International Conference, ML4CS 2024, Hangzhou, China, December 27–29, 2024, Proceedings

Aus der Reihe Lecture Notes in Computer Science

136,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.04.2025

Herausgeber

Yang Xiang + weitere

Verlag

Springer Singapore

Seitenzahl

450

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

698 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9645-65-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.04.2025

Herausgeber

Verlag

Springer Singapore

Seitenzahl

450

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

698 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9645-65-7

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Machine Learning for Cyber Security
  • Produktbild: Machine Learning for Cyber Security

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    .- 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.

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    .- Blockchain-Based Anonymous Authentication Scheme with Traceable Pseudonym Management in ITS.

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    .- 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.

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    .- 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.

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    .- 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.

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    .- A Vehicles Scheduling Algorithm Based on Clustering based Federated Learning.

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