{"product_id":"machine-learning-for-cyber-security-9789819645657","title":"Machine Learning for Cyber Security","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- Secure Resource Allocation via Constrained Deep Reinforcement Learning.\u003c\/p\u003e\u003cp\u003e.- Efficient Two-Party Privacy-Preserving Ridge and Lasso Regression via SMPC.\u003c\/p\u003e\u003cp\u003e.- A Decentralized Bitcoin Mixing Scheme Based on Multi-signature.\u003c\/p\u003e\u003cp\u003e.- Decentralized Continuous Group Key Agreement for UAV Ad-hoc Network.\u003c\/p\u003e\u003cp\u003e.- Efficient Homomorphic Approximation of Max Pooling for Privacy-Preserving Deep Learning.\u003c\/p\u003e\u003cp\u003e.- Blockchain-Aided Revocable Threshold Group Signature Scheme for Smart Grid.\u003c\/p\u003e\u003cp\u003e.- Privacy-preserving Three-factors Authentication and Key Agreement for Federated Learnin.\u003c\/p\u003e\u003cp\u003e.- Blockchain-Based Anonymous Authentication Scheme with Traceable Pseudonym Management in ITS.\u003c\/p\u003e\u003cp\u003e.- Multi-keyword Searchable Data Auditing for Cloud-based Machine Learning.\u003c\/p\u003e\u003cp\u003e.- A Flexible Keyword-Based PIR Scheme with Customizable Data Scales for Multi-Server Learning.\u003c\/p\u003e\u003cp\u003e.- Automatic Software Vulnerability Detection in Binary Code.\u003c\/p\u003e\u003cp\u003e.- Malicious Code Detection Based On Generative Adversarial Model.\u003c\/p\u003e\u003cp\u003e.- Construction of an AI Code Defect Detection and Repair Dataset Based on Chain of Thought.\u003c\/p\u003e\u003cp\u003e.- Backdoor Attack on Android Malware Classifiers Based on Genetic Algorithms.\u003c\/p\u003e\u003cp\u003e.- A Malicious Websites Classifier Based on an Improved Relation Network.\u003c\/p\u003e\u003cp\u003e.- Unknown Category Malicious Traffic Detection Based on Contrastive Learning.\u003c\/p\u003e\u003cp\u003e.- SoftPromptAttack: Research on Backdoor Attacks in Language Models Based on Prompt Learning.\u003c\/p\u003e\u003cp\u003e.- Removing Regional Steering Vectors to Achieve Knowledge Domain Forgetting in Large Language Models.\u003c\/p\u003e\u003cp\u003e.- A Novel and Efficient Multi-scale Spatio-temporal Residual Network for Multi-Class Instrusion Detection.\u003c\/p\u003e\u003cp\u003e.- Provable Data Auditing Scheme from Trusted Execution Environment.\u003c\/p\u003e\u003cp\u003e.- Enhanced PIR Scheme Combining SimplePIR and Spiral: Achieving Higher Throughput without Client Hints.\u003c\/p\u003e\u003cp\u003e.- A Two-stage Image Blind Inpainting Algorithm Based on Gated Residual Connection.\u003c\/p\u003e\u003cp\u003e.- GAN-based Adaptive Trigger Generation and Target Gradient Alignment in Vertical Federated Learning Backdoor Attacks.\u003c\/p\u003e\u003cp\u003e.- Weakly Supervised Waste Classification with Adaptive Loss and Enhanced Class Activation Maps.\u003c\/p\u003e\u003cp\u003e.- A Vehicle Asynchronous Communication Scheme Based on Federated Deep Reinforcement Learning.\u003c\/p\u003e\u003cp\u003e.- A Vehicles Scheduling Algorithm Based on Clustering based Federated Learning.\u003c\/p\u003e\u003cp\u003e.- A Cooperative Caching Strategy Based on Deep Q-Network for Mobile Edge Networks.\u003c\/p\u003e\u003cp\u003e.- YOLO-LiteMax: An Improved Model for UAV Small Object Detection.\u003c\/p\u003e\u003cp\u003e.- LMCF-FS: A Novel Lightweight Malware Classification Framework Driven by Feature Selection.\u003c\/p\u003e\u003cp\u003e.- Rule Learning-Based Target Prediction for Efficient and Flexible Private Information Retrieval.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212878733655,"sku":"9789819645657","price":108.3,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/machine-learning-for-cyber-security-9789819645657","provider":"Book Curl","version":"1.0","type":"link"}