E-raamat: Knowledge Science, Engineering and Management: 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part III

.- Knowledge Management with Optimization and Security (KMOS).



.- Knowledge Enhanced Zero-Shot Visual Relationship Detection.



.- WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud
Environments.



.- Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly
Detection in A JointCloud Environment.



.- VulCausal: Robust Vulnerability Detection Using Neural Network Models from
a Causal Perspective.



.- LLM-Driven Ontology Learning to Augment Student Performance Analysis in
Higher Education.



.- DA-NAS: Learning Transferable Architecture for Unsupervised Domain
Adaptation.



.- Optimize rule mining based on constraint learning in knowledge graph.



.- GC-DAWMAR: A Global-Local Framework for Long-Term Time Series
Forecasting.



.- An improved YOLOv7 based prohibited item detection model in X-ray images.



.- Invisible Backdoor Attacks on Key Regions Based on Target Neurons in
Self-Supervised Learning.



.- Meta learning based Rumor Detection by Awareness of Social Bot.



.- Financial FAQ Question-Answering System Based on Question Semantic
Similarity.



.- An illegal website family discovery method based on association graph
clustering.



.- Different Attack and Defense Types for AI Cybersecurity.



.-An Improved Ultra-Scalable Spectral Clustering Assessment with Isolation
Kernel.



.- A Belief Evolution Model with Non-Axiomatic Logic.



.- Lurking in the Shadows: Imperceptible Shadow Black-Box Attacks against
Lane Detection Models.



.- Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks.



.- KEEN: Knowledge Graph-enabled Governance System for Biological Assets.



.- Cop: Continously Pairing of Heterogeneous Wearable Devices based on
Heartbeat.



.- DFDS: Data-Free Dual Substitutes Hard-Label Black-Box Adversarial Attack.



.- Logits Poisoning Attack in Federated Distillation.



.- DiVerFed: Distribution-Aware Vertical Federated Learning for Missing
Information.



.- Prompt Based CVAE Data Augmentation for Few-shot Intention Detection.



.- Reentrancy Vulnerability Detection Based On Improved Attention Mechanism.



.- Knowledge-Driven Backdoor Removal in Deep Neural Networks via
Reinforcement Learning.



.- AI in Healthcare Data Privacy-preserving: Enhanced Trade-off between
Security and Utility.



.- Traj-MergeGAN: A Trajectory Privacy Preservation Model Based on Generative
Adversarial Network.



.- Adversarial examples for Preventing Diffusion Models from Malicious Image
Edition.



.- ReVFed: Representation-based Privacy-preserving Vertical Federated
Learning with Heterogeneous Models.



.- Logit Adjustment with Normalization and Augmentation in Few-shot Named
Entity Recognition.



.- New Indicators and Optimizations for Zero-Shot NAS Based on Feature Maps.