SSRJAI Volume 3, Issue 8, 2026

Adversarial Vulnerabilities in Large Language Models: A Critical Review and an Adaptive Multi-Layered Defense Framework for Enterprise AI

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An Explainable Adaptive Hybrid Artificial Intelligence Framework for Insider Threat Detection in Financial Institutions

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A Lightweight AI-Driven Intrusion Detection System for Cyber-Physical IoT Networks: Balancing Detection Performance and Edge Deployability

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Enhancing Technical Education for People with Visual Impairments Using Artificial Intelligence

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Explainable AI for Multi-Modal Insider Threat Detection: A CNN-LSTM-Autoencoder Framework with SHAP-LIME Comparative Analysis

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From Confounded Signals to Causal Affect: Proximal Inference with Hybrid Deep Learning for Wearable Emotion Recognition in Precision Mental Health

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Fine-Grained Propaganda Detection for Hausa: Systematic Review of Resources, Methods, and Future Directions

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Federated Learning for Privacy-Preserving Threat Detection in Massive IOT Ecosystems: A Systematic Literature Review

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Federated Gradient Boosting for IOT Intrusion Detection: A Non-IID Evaluation of LightGBM and XGBoost under Manual FedAvg on TON_IoT

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Adversarially Robust Intrusion Detection in Software-Defined Networks Using a Resilient Adversarial Deep Neural Network with Stochastic Gradient Langevin Dynamics

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An Adaptive Quantum-Resilient Self-Sovereign Identity (AQR-SSI) Framework Using Blockchain, Zero-Knowledge Proofs, and Explainable AI for Secure Electronic Health Records Sharing

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