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This article proposes a usable security enhancement model for NLP systems. A matrix is proposed to evaluate NLP systems based on usable security. Both the model and the matrix were evaluated through a comparative study of 30 projects used by 924 participants. The work showed a clear impact on achieving usable-security on NLP systems.

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Addressing Usable-Security Challenges for NLP Systems

  • 会议论文

  • 发表日期：

    2025年

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  • Yasser M. Hausawi

摘要

This article proposes a usable security enhancement model for NLP systems. A matrix is proposed to evaluate NLP systems based on usable security. Both the model and the matrix were evaluated through a comparative study of 30 projects used by 924 participants. The work showed a clear impact on achieving usable-security on NLP systems.