Machine Learning for Cyber Security

.- 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.