Machine Learning for Cyber Security: 6th International Conference, ML4CS 2024, Hangzhou, China, December 2729, 2024, Proceedings [Pehme köide]

.- 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.