AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection

arXiv:2609.19873 · cs.LG · Submitted 2026-09-17 · Read on arXiv

cs.LG

Submitted: 2026-09-17

Updated: 2026-09-17

Comments: Under review

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adaptive Uncertainty-Routed Analysis — 19× in this paper
• Transformer — 15× in this paper · explained in 2 episodes
• Robustness — 9× in this paper · explained in 5 episodes
• Distribution Shift — 8× in this paper · explained in 6 episodes
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Accuracy — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Adaptive Uncertainty Router — 4× in this paper
• Calibration — 3× in this paper · explained in 7 episodes
• Core — 3× in this paper · explained in 2 episodes
• Random Forest — 3× in this paper
• AUC — 2× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 4 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 2× in this paper · explained in 3 episodes
• Parameter Efficiency — 2× in this paper · explained in 3 episodes
• Transformer Models — 2× in this paper · explained in 2 episodes
• Uncertainty Quantification — 2× in this paper · explained in 8 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptive Evidential Fusion Module — 1× in this paper
• Adaptivity — 1× in this paper · explained in 1 episode
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Deep Content Analysis Module — 1× in this paper
• Domain Shift — 1× in this paper · explained in 4 episodes
• Email Ingestion and Preprocessing Module — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Modular Components — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• URL Risk Analysis Module — 1× in this paper

Sources

• PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
• CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
• The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs

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