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Book Synopsis

Fine-tuning Fine-tuned Models: Towards a Practical Methodology for Sentiment Analysis with Small In-domain Supervised Dataset.- End-to-end Knowledge Graph Construction System Powered by Large
Language Models.- EPRVR: Efficient Partially Relevant Video Retrieval with Disentangled Video Representation Learning.- Graph-Based Data Augmentation and Label Noise Identification for
Entity Resolution.- Patient Mortality prediction Using Clinical Notes.- ScaleDoc: A Two-Stage Approach for Scale-Aware Document Dewarping.- CCUH:CLIP-Based Clustering Method for Unsupervised Hashing Multi-Modal Retrieval.- A Privacy-Preserving Image Classification Framework with Transformer.- Reversible Data Hiding in Dual Encrypted Images with Dual Data Embedding.- A Dual-Layer Reversible Data Hiding Scheme Based on Optimal Neighbor Mean Interpolation (ONMI) and Histogram Shifting.- Threat Intelligence Entity Recognition Based On Large Language Model With Contrastive Learning.- GTSD: Generative Text Steganography Based on Diffusion Model.- Enhanced Autoencoder Model for Robust Anomaly Detection in Financial Fraud with Imbalanced Data.- Membership Inference Attacks in Text Classification Tasks.- PURVEY-CE: A Complex texture adaptive image steganography based on channel attention.- Air-Sniffing Analytics Enhancing Wi-Fi Device Identification with Robust and Accurate Techniques.- Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices.- Control ControlNet: Multidimensional Backdoor Attack based on ControlNet.- CPANet: Convolutional Parameter Adapter Network for Image
Copy-Move Forgery Detection and Localization.- AO-UAP: An Adaptive Universal Adversarial Perturbation Generation for Speech Recognition Models.- A Hilbert-Curve based Encoding scheme for Privacy-preserving Nearest-Neighbor Classification.- ZKP-HGNN: A Study on Improving Zero- Knowledge Proof (ZKP) Based on Heterogeneous Graph Neural Networks for Anonymous Digital Identity Sharing in Blockchain.- Adversarial Knowledge Extraction via Steering Diffusion Models.- Solving the Thinnest Path Problem with Hypergraph Learning.- AISSGR: Attack Investigation Based on Self-Supervised Graph Representation Learning.- Two-stage optimized adversarial patch for attacking infrared vehicle detectors in the physical world.- Deep Learning-Based Detection of Code Execution Vulnerabilities in Binary Programs.- Towards Real-Time Audio Deepfake Detection in Resource-Limited
Environments.- Detecting Audio Deepfakes through Emotional Fingerprinting.- Constructing Multi-Detector Decision Forest for Fake Speech Detection.- KDAE: Kernel Density Auto-Encoder for Semi-Supervised Anomaly Detection with Limited Labeled Data.

Neural Information Processing

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    A Paperback by Mufti Mahmud

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      View other formats and editions of Neural Information Processing by Mufti Mahmud

      Publisher: Springer
      Publication Date: 30/07/2025
      ISBN13: 9789819670048, 978-9819670048
      ISBN10:
      Also in:
      Pattern recognition

      Description

      Book Synopsis

      Fine-tuning Fine-tuned Models: Towards a Practical Methodology for Sentiment Analysis with Small In-domain Supervised Dataset.- End-to-end Knowledge Graph Construction System Powered by Large
      Language Models.- EPRVR: Efficient Partially Relevant Video Retrieval with Disentangled Video Representation Learning.- Graph-Based Data Augmentation and Label Noise Identification for
      Entity Resolution.- Patient Mortality prediction Using Clinical Notes.- ScaleDoc: A Two-Stage Approach for Scale-Aware Document Dewarping.- CCUH:CLIP-Based Clustering Method for Unsupervised Hashing Multi-Modal Retrieval.- A Privacy-Preserving Image Classification Framework with Transformer.- Reversible Data Hiding in Dual Encrypted Images with Dual Data Embedding.- A Dual-Layer Reversible Data Hiding Scheme Based on Optimal Neighbor Mean Interpolation (ONMI) and Histogram Shifting.- Threat Intelligence Entity Recognition Based On Large Language Model With Contrastive Learning.- GTSD: Generative Text Steganography Based on Diffusion Model.- Enhanced Autoencoder Model for Robust Anomaly Detection in Financial Fraud with Imbalanced Data.- Membership Inference Attacks in Text Classification Tasks.- PURVEY-CE: A Complex texture adaptive image steganography based on channel attention.- Air-Sniffing Analytics Enhancing Wi-Fi Device Identification with Robust and Accurate Techniques.- Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices.- Control ControlNet: Multidimensional Backdoor Attack based on ControlNet.- CPANet: Convolutional Parameter Adapter Network for Image
      Copy-Move Forgery Detection and Localization.- AO-UAP: An Adaptive Universal Adversarial Perturbation Generation for Speech Recognition Models.- A Hilbert-Curve based Encoding scheme for Privacy-preserving Nearest-Neighbor Classification.- ZKP-HGNN: A Study on Improving Zero- Knowledge Proof (ZKP) Based on Heterogeneous Graph Neural Networks for Anonymous Digital Identity Sharing in Blockchain.- Adversarial Knowledge Extraction via Steering Diffusion Models.- Solving the Thinnest Path Problem with Hypergraph Learning.- AISSGR: Attack Investigation Based on Self-Supervised Graph Representation Learning.- Two-stage optimized adversarial patch for attacking infrared vehicle detectors in the physical world.- Deep Learning-Based Detection of Code Execution Vulnerabilities in Binary Programs.- Towards Real-Time Audio Deepfake Detection in Resource-Limited
      Environments.- Detecting Audio Deepfakes through Emotional Fingerprinting.- Constructing Multi-Detector Decision Forest for Fake Speech Detection.- KDAE: Kernel Density Auto-Encoder for Semi-Supervised Anomaly Detection with Limited Labeled Data.

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