Browsing by Subject "Explainable AI"

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  • Kumarasiri, NKYS; Premaratne, SC; Wijesuriya, WMRM [Conference-Full-text]
    Adversarial Attack is a rapidly growing field that studies how intentionally crafted inputs can fool machine learning models. This can have severe implications for the security of machine learning systems, as it can ...
  • Wijesinghe, N; Perera, R; Sellahewa, N; Talagala, PD [Conference-Full-text]
    Research involving anomaly detection in image streams has seen growth through the years, given the proliferation of high-quality image data in various applications. One such application that is in urgent need of attention ...