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A. Zafar

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Sep 2026

Intuitionistic Fuzzy and Robust Loss Fused Framework for Stable and Efficient RVFL Learning

Random vector functional link (RVFL) networks have gained considerable attention as efficient randomized learning models due to their fast training and simple architecture. However, classical RVFL still suffers from three fundamental limitations: the reliance on the squared loss makes it highly vulnerable to noise and...

Kausar Ali, M. Akhtar, A. Zafar et al. · 0 citations
Open access Jul 2026

Defending and mitigating the impact of targeted white-box adversarial attacks in computer network security

A detailed empirical assessment of targeted adversarial vulnerability and defensive behaviour in a multi-class NIDS setting is presented and the results highlight long-standing, class-specific, robustness gaps and provide insights that could be used to design more robust intrusion detection systems.

Khushnaseeb Roshan, Faraz Masood, A. Zafar et al. · 1 citation

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