Description

Book Synopsis

.- Label Inference Attacks against Federated Unlearning.
.- LVLM-FDA: Protecting Large Vision-language models via Fast Detection of Malicious Attempts.
.- KAD: Based on the Kolmogorov-Arnold formula’s Nonlinear Dynamic Channel Weights module.
.- CoTSentry: Advanced Network Attack Detection with Chain-of-Thought Reasoning.
.- A Large Language Model Agent-Guided Multi-Agent System for Adaptive Traffic Signal Control.
.- FedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency.
.- SAML: A Structure-Aware Enhanced Meta Learning Framework for Spatio-Temproal Graph Few-Shot Learning.
.- A Task-Specific Feature Fusion Strategy For Small Object Detection.
.- Decoupled Dynamic Spatio-Temporal Neural Radiance Fields for Enhanced 3D Scene Synthesis.
.- Mamba Model Based on GloVe Word Embedding for Sentiment Analysis.
.- DKCER-Agent: Lightweight and Efficient KNN-Enhanced Dynamic Context Optimization for Stepwise Retrieval Augmented Generation.
.- Robust AI-Synthesized Image Detection via Multi-feature Frequency-aware Learning.
.- Do Domain-Specific LLMs Keep Secrets? An Empirical Study of Privacy Risks and Membership Inference Attacks.
.- Dynamic Weighted Consensus Framework for LLM Multi-Agent Debate.
.- Streaming Hierarchical Clustering for Emerging New Class.
.- Masked Aggregation Learning for Enhancing Distributed Gradient Boosting Decision Trees.
.- Personalized learning resource recommendation framework based on knowledge graph and large language model.
.- The REGEN model, a LLM-based integrated framework of retrieval and QA generation from plain texts on international freight domain.
.- SWV: A Large-scale Sensitive Word Variants Dataset for Semantic Text Matching.
.- Explainable Recommendation Using Global Preference Paths on Knowledge Graph.
.- Hierarchical Data Protection Based on Homomorphic Encryption Algorithm.
.- MCAN-BIFT: An IIoT Intrusion Detection System Integrating Multi-Scale Feature Enhancement and Transformer.
.- Summary of the application of deep learning in fault detection.
.- Community Detection Attack Based on Balanced Budget Allocation.
.- Depth State Space Model for Light Field Depth Estimation via Text-similar Representation.
.- GSC-SAGE: A Generative Subgraph Contrastive Framework for Encrypted Traffic Detection.
.- Gradient Balanced Part-Whole Relational Weakly Supervised Semantic Segmentation.
.- Hierarchical Integration Knowledge Distillation: Enhancing Adversarial Robustness of Student Models via Clean Data Distillation.
.- Tree-based Approach for Time-independent Diffusion Network Inference.
.- Diffusion model-based multi-scale feature and timing consistency enhancement for ECG signal generation.
.- Large Language Models are Not Stable Recommender Systems: A Position Bias Perspective.
.- POAgent: A Multi-Agent Controller Towards Adaptive Parameter Optimization.

Knowledge Science Engineering and Management

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    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Paperback by Tianqing Zhu

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      View other formats and editions of Knowledge Science Engineering and Management by Tianqing Zhu

      Publisher: Springer
      Publication Date: 10/11/2025
      ISBN13: 9789819530007, 978-9819530007
      ISBN10:

      Description

      Book Synopsis

      .- Label Inference Attacks against Federated Unlearning.
      .- LVLM-FDA: Protecting Large Vision-language models via Fast Detection of Malicious Attempts.
      .- KAD: Based on the Kolmogorov-Arnold formula’s Nonlinear Dynamic Channel Weights module.
      .- CoTSentry: Advanced Network Attack Detection with Chain-of-Thought Reasoning.
      .- A Large Language Model Agent-Guided Multi-Agent System for Adaptive Traffic Signal Control.
      .- FedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency.
      .- SAML: A Structure-Aware Enhanced Meta Learning Framework for Spatio-Temproal Graph Few-Shot Learning.
      .- A Task-Specific Feature Fusion Strategy For Small Object Detection.
      .- Decoupled Dynamic Spatio-Temporal Neural Radiance Fields for Enhanced 3D Scene Synthesis.
      .- Mamba Model Based on GloVe Word Embedding for Sentiment Analysis.
      .- DKCER-Agent: Lightweight and Efficient KNN-Enhanced Dynamic Context Optimization for Stepwise Retrieval Augmented Generation.
      .- Robust AI-Synthesized Image Detection via Multi-feature Frequency-aware Learning.
      .- Do Domain-Specific LLMs Keep Secrets? An Empirical Study of Privacy Risks and Membership Inference Attacks.
      .- Dynamic Weighted Consensus Framework for LLM Multi-Agent Debate.
      .- Streaming Hierarchical Clustering for Emerging New Class.
      .- Masked Aggregation Learning for Enhancing Distributed Gradient Boosting Decision Trees.
      .- Personalized learning resource recommendation framework based on knowledge graph and large language model.
      .- The REGEN model, a LLM-based integrated framework of retrieval and QA generation from plain texts on international freight domain.
      .- SWV: A Large-scale Sensitive Word Variants Dataset for Semantic Text Matching.
      .- Explainable Recommendation Using Global Preference Paths on Knowledge Graph.
      .- Hierarchical Data Protection Based on Homomorphic Encryption Algorithm.
      .- MCAN-BIFT: An IIoT Intrusion Detection System Integrating Multi-Scale Feature Enhancement and Transformer.
      .- Summary of the application of deep learning in fault detection.
      .- Community Detection Attack Based on Balanced Budget Allocation.
      .- Depth State Space Model for Light Field Depth Estimation via Text-similar Representation.
      .- GSC-SAGE: A Generative Subgraph Contrastive Framework for Encrypted Traffic Detection.
      .- Gradient Balanced Part-Whole Relational Weakly Supervised Semantic Segmentation.
      .- Hierarchical Integration Knowledge Distillation: Enhancing Adversarial Robustness of Student Models via Clean Data Distillation.
      .- Tree-based Approach for Time-independent Diffusion Network Inference.
      .- Diffusion model-based multi-scale feature and timing consistency enhancement for ECG signal generation.
      .- Large Language Models are Not Stable Recommender Systems: A Position Bias Perspective.
      .- POAgent: A Multi-Agent Controller Towards Adaptive Parameter Optimization.

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