Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 26, 2024, Proceedings, Part XII [Pehme köide]

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.