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Author

Sana Tariq

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Jul 2026

Explainable Prompt Injection Detection using Sentence Embeddings, Random Forest, and Word-Level Attribution

A explainable framework that detects the attacks using a Random Forest (RF) classifier along with semantic sentence embedding and SHAP (Shapley Additive Explanations) is used together with a wordlevel attribution mechanism to give human-legible explanations for the model predictions, and to emphasize harmful parts within the prompt.

M. Ahmad, M. Asif, Aoun E. Muhammad et al. · 0 citations
Review Jul 2026

Privacy-Preserving Framework Using Isolation Forest for Security

A systematic literature review of 50 studies published between 2018 and 2026 that combine machine-learningbased anomaly detection with privacy-enhancing technologies finds that FL combined with the lightweight Isolation Forest is the approach most frequently associated with a favourable trade-off between detection quality, privacy protection and computational cost.

Mahnoor Fatima, Ahmad Ijaz, Aoun E. Muhammad et al. · 0 citations