Tag: adversarial machine learning
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LePREC: Enhanced Legal Issue Identification with AI
LePREC improves legal issue identification by combining neural and symbolic AI, boosting accuracy by 30-40% over traditional LLM methods.
Addressing Catastrophic Forgetting in Knowledge Graph Embedding
Explore how entity interference impacts continual knowledge graph embedding and discover improved evaluation methods to tackle catastrophic forgetting.
Multimodal Transformer Enhances MOF Property Prediction
Discover how a multimodal transformer improves sample-aware prediction of metal-organic framework properties using experimental XRD data.
TACENR: Explainable Task-Agnostic Node Representations
Discover TACENR, a task-agnostic method offering contrastive explanations for node representations to enhance transparency in graph learning.
DP-FlogTinyLLM: Private Federated Log Anomaly Detection
Discover DP-FlogTinyLLM, a privacy-preserving federated learning framework using Tiny LLMs for efficient and secure log anomaly detection.